Index (ImgLib2 Algorithms 0.15.3 API)

A B C D E F G H I J K L M N O P Q R S T U V W X Z

A

a - Variable in class net.imglib2.algorithm.math.abstractions.ABinaryFunction
a - Variable in class net.imglib2.algorithm.math.abstractions.ATrinaryFunction
a - Variable in class net.imglib2.algorithm.math.abstractions.AUnaryFunction
a - Variable in class net.imglib2.algorithm.math.execution.Comparison
a - Variable in class net.imglib2.algorithm.math.execution.LogicalNot
ABinaryFunction - Class in net.imglib2.algorithm.math.abstractions
ABinaryFunction(Object, Object) - Constructor for class net.imglib2.algorithm.math.abstractions.ABinaryFunction
ABinaryFunction(Object...) - Constructor for class net.imglib2.algorithm.math.abstractions.ABinaryFunction
ABooleanFunction<O extends RealType<O>> - Class in net.imglib2.algorithm.math.abstractions
ABooleanFunction(O) - Constructor for class net.imglib2.algorithm.math.abstractions.ABooleanFunction
Abstract3x3TableOperation - Class in net.imglib2.algorithm.morphology.table2d: Performs a binary operation on a 3x3 2-D neighborhood using a table of truth values to drive the operation.
Abstract3x3TableOperation() - Constructor for class net.imglib2.algorithm.morphology.table2d.Abstract3x3TableOperation
AbstractBsplineKernel - Class in net.imglib2.algorithm.bspline
AbstractBsplineKernel() - Constructor for class net.imglib2.algorithm.bspline.AbstractBsplineKernel
AbstractGauss<T extends NumericType<T>> - Class in net.imglib2.algorithm.gauss
AbstractGauss(double[], RandomAccessible<T>, Interval, RandomAccessible<T>, Localizable, ImgFactory<T>, T) - Constructor for class net.imglib2.algorithm.gauss.AbstractGauss
AbstractLineIterator - Class in net.imglib2.algorithm.gauss: Deprecated.
AbstractLineIterator(int, long, A) - Constructor for class net.imglib2.algorithm.gauss.AbstractLineIterator: Deprecated.

Make a new LineIterator which iterates a 1d line of a certain length
AbstractLineIterator(int, long, Localizable, Positionable) - Constructor for class net.imglib2.algorithm.gauss.AbstractLineIterator: Deprecated.

Make a new LineIterator which iterates a 1d line of a certain length
AbstractMultiThreadedConvolution<T> - Class in net.imglib2.algorithm.convolution: Deprecated.
AbstractMultiThreadedConvolution() - Constructor for class net.imglib2.algorithm.convolution.AbstractMultiThreadedConvolution: Deprecated.
accept(RandomAccessibleInterval<S>) - Method in class net.imglib2.algorithm.bspline.BSplineDecomposition
accept(T, U) - Method in interface net.imglib2.algorithm.fill.Filter: Deprecated.
accept(T) - Method in interface net.imglib2.algorithm.tree.TreeUtils.Consumer
acceptUnpadded(RandomAccessibleInterval<S>) - Method in class net.imglib2.algorithm.bspline.BSplineDecomposition: Compute coefficients.
accuracy(double, double, double) - Method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary
adaptSourceType(U, ClampType) - Method in interface net.imglib2.algorithm.blocks.UnaryBlockOperator: Returns a UnaryBlockOperator that is equivalent to converting the input values to type U (possibly clamping to the range of U).
adaptTargetType(U, ClampType) - Method in interface net.imglib2.algorithm.blocks.UnaryBlockOperator: Returns a UnaryBlockOperator that is equivalent to applying this, an then converting the output values to type U (possibly clamping to the range of U).
Add - Class in net.imglib2.algorithm.math
Add(Object, Object) - Constructor for class net.imglib2.algorithm.math.Add
Add(Object...) - Constructor for class net.imglib2.algorithm.math.Add
add(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
add(Object...) - Static method in class net.imglib2.algorithm.math.ImgMath
add(RandomAccessible<T>, Localizable, long, T) - Static method in class net.imglib2.algorithm.region.Circles: Writes a circle in the target RandomAccessible.
add(RandomAccessible<T>, Localizable, long, int, int, T) - Static method in class net.imglib2.algorithm.region.Circles: Writes a circle in the target RandomAccessible.
add(RandomAccessible<T>, Localizable, long, long, T) - Static method in class net.imglib2.algorithm.region.Ellipses: Writes an ellipse in the target RandomAccessible.
add(RandomAccessible<T>, Localizable, long, long, int, int, T) - Static method in class net.imglib2.algorithm.region.Ellipses: Writes an ellipse in the target RandomAccessible.
Addition<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
Addition(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.Addition
addPoint(MultiMetrics.MetricsSummary) - Method in class net.imglib2.algorithm.metrics.segmentation.LazyMultiMetrics: Update the atomic aggregates with the values held by the MultiMetrics.MetricsSummary.
addPoint(MultiMetrics.MetricsSummary) - Method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary: Add the otherMetrics values to the aggregate of the current object.
addPoint(int, int, int, double) - Method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary: Add the values to the aggregates.
addPosition(Localizable) - Method in interface net.imglib2.algorithm.componenttree.PartialComponent: Add a pixel to the set of pixels represented by this component.
addPosition(Localizable) - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelList: Append a pixel location to the list.
addTimePoint(ImgLabeling<T, I>, ImgLabeling<U, J>) - Method in class net.imglib2.algorithm.metrics.segmentation.LazyMultiMetrics: Add a new image pair and compute its contribution to the metrics scores.
addTimePoint(RandomAccessibleInterval, RandomAccessibleInterval<J>) - Method in class net.imglib2.algorithm.metrics.segmentation.LazyMultiMetrics: Add a new image pair and compute its contribution to the metrics scores.
addTimePoint(ImgLabeling<T, I>, ImgLabeling<U, J>) - Method in class net.imglib2.algorithm.metrics.segmentation.LazySEGMetrics: Add a new image pair and compute its contribution to the SEG metrics.
addTimePoint(RandomAccessibleInterval, RandomAccessibleInterval<J>) - Method in class net.imglib2.algorithm.metrics.segmentation.LazySEGMetrics: Add a new image pair and compute its contribution to the SEG metrics.
affine(T, AffineGet, Transform.Interpolation) - Static method in class net.imglib2.algorithm.blocks.transform.Transform: Create a UnaryBlockOperator to interpolate and affine-transform blocks of the standard ImgLib2 RealTypes.
affine(T, AffineGet, Transform.Interpolation, Transform.ComputationType) - Static method in class net.imglib2.algorithm.blocks.transform.Transform: Create a UnaryBlockOperator to interpolate and affine-transform blocks of the standard ImgLib2 RealTypes.
age - Variable in class net.imglib2.algorithm.labeling.Watershed.PixelIntensity
Algorithm - Interface in net.imglib2.algorithm: TODO This interface should extend Runnable
AllConnectedComponents - Class in net.imglib2.algorithm.labeling: Deprecated.
AllConnectedComponents() - Constructor for class net.imglib2.algorithm.labeling.AllConnectedComponents: Deprecated.
AllConnectedComponents.PositionStack - Class in net.imglib2.algorithm.labeling: Deprecated.
allowedToMoveInDim - Variable in class net.imglib2.algorithm.localextrema.SubpixelLocalization
allowMaximaTolerance - Variable in class net.imglib2.algorithm.localextrema.SubpixelLocalization
ALPHA - Static variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
alternatingPath(int) - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
AND(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
AND(Object...) - Static method in class net.imglib2.algorithm.math.ImgMath
AndLogical - Class in net.imglib2.algorithm.math
AndLogical(Object, Object) - Constructor for class net.imglib2.algorithm.math.AndLogical
AndLogical(Object...) - Constructor for class net.imglib2.algorithm.math.AndLogical
andThen(BlockProcessor<O, P>) - Method in interface net.imglib2.algorithm.blocks.BlockProcessor: Returns a BlockProcessor concatenated such that
andThen(UnaryBlockOperator<T, U>) - Method in interface net.imglib2.algorithm.blocks.BlockSupplier: Returns a UnaryBlockOperator that is equivalent to applying this, and then applying op to the result.
andThen(UnaryBlockOperator<T, U>) - Method in interface net.imglib2.algorithm.blocks.UnaryBlockOperator: Returns a UnaryBlockOperator that is equivalent to applying this, and then applying op to the result.
apply(long[]) - Method in class net.imglib2.algorithm.util.Grids.CreateAndCropBlockToFitInterval
apply(long[]) - Method in class net.imglib2.algorithm.util.Grids.GetGridCoordinates
asymmetric(double[], int) - Static method in class net.imglib2.algorithm.convolution.kernel.Kernel1D: Creates a one-dimensional asymmetric convolution kernel.
asymmetric(double[][], int[]) - Static method in class net.imglib2.algorithm.convolution.kernel.Kernel1D: Similar to Kernel1D.asymmetric(double[], int) but creates an array of one-dimensional convolution kernels.
ATrinaryFunction - Class in net.imglib2.algorithm.math.abstractions
ATrinaryFunction(Object, Object, Object) - Constructor for class net.imglib2.algorithm.math.abstractions.ATrinaryFunction
augmentPath(int) - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
AUnaryFunction - Class in net.imglib2.algorithm.math.abstractions
AUnaryFunction(Object) - Constructor for class net.imglib2.algorithm.math.abstractions.AUnaryFunction

B

b - Variable in class net.imglib2.algorithm.math.abstractions.ABinaryFunction
b - Variable in class net.imglib2.algorithm.math.abstractions.ATrinaryFunction
b - Variable in class net.imglib2.algorithm.math.execution.Comparison
bck(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
bck(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
bck(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
bck(int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
bck(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
bck(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
bck(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
Benchmark - Interface in net.imglib2.algorithm: TODO
BenchmarkAlgorithm - Class in net.imglib2.algorithm: This is a convenience implementation of an algorithm that implements Benchmark and Algorithm so that less code has to be re-implemented.
BenchmarkAlgorithm() - Constructor for class net.imglib2.algorithm.BenchmarkAlgorithm
binaryTransform(RandomAccessible, RandomAccessibleInterval, DistanceTransform.DISTANCE_TYPE, double...) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create binary distance transform on source using squared Euclidian (L2) or L1 distance.
binaryTransform(RandomAccessible, RandomAccessibleInterval, DistanceTransform.DISTANCE_TYPE, ExecutorService, int, double...) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create binary distance transform on source using squared Euclidian (L2) or L1 distance.
binaryTransform(RandomAccessible, RandomAccessibleInterval, RandomAccessibleInterval<V>, DistanceTransform.DISTANCE_TYPE, double...) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create binary distance transform on source using squared Euclidian (L2) or L1 distance.
binaryTransform(RandomAccessible, RandomAccessibleInterval, RandomAccessibleInterval<V>, DistanceTransform.DISTANCE_TYPE, ExecutorService, int, double...) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create binary distance transform on source using squared Euclidian (L2) or L1 distance.
binaryTransform(RandomAccessibleInterval, Distance, ExecutorService, int) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create binary distance transform on source using arbitrary Distance d.
binaryTransform(RandomAccessible, RandomAccessibleInterval, Distance) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create binary distance transform on source using arbitrary Distance d.
binaryTransform(RandomAccessible, RandomAccessibleInterval, Distance, ExecutorService, int) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create binary distance transform on source using arbitrary Distance d.
binaryTransform(RandomAccessible, RandomAccessibleInterval, RandomAccessibleInterval<V>, Distance) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create binary distance transform on source using arbitrary Distance d.
binaryTransform(RandomAccessible, RandomAccessibleInterval, RandomAccessibleInterval<V>, Distance, ExecutorService, int) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create binary distance transform on source using arbitrary Distance d.
BlackTopHat - Class in net.imglib2.algorithm.morphology: Black top-hat (bottom-hat) transform for ImgLib2.
blackTopHat(Img<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.BlackTopHat: Performs the black top-hat (or bottom-hat) morphological operation, on a RealType Img using a list of Shapes as a flat structuring element.
blackTopHat(Img<T>, List<? extends Shape>, T, T, int) - Static method in class net.imglib2.algorithm.morphology.BlackTopHat: Performs the black top-hat (or bottom-hat) morphological operation, using a list of Shapes as a flat structuring element.
blackTopHat(Img<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.BlackTopHat: Performs the black top-hat (or bottom-hat) morphological operation, on a RealType Img using a Shape as a flat structuring element.
blackTopHat(Img<T>, Shape, T, T, int) - Static method in class net.imglib2.algorithm.morphology.BlackTopHat: Performs the black top-hat (or bottom-hat) morphological operation, using a Shape as a flat structuring element.
blackTopHat(RandomAccessible<T>, IterableInterval<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.BlackTopHat: Performs the black top-hat (or bottom-hat) morphological operation on a RealType source RandomAccessible, using a list of Shapes as a structuring element, and writes the result on a specified target which must be an IterableInterval.
blackTopHat(RandomAccessible<T>, IterableInterval<T>, List<? extends Shape>, T, T, int) - Static method in class net.imglib2.algorithm.morphology.BlackTopHat: Performs the black top-hat (or bottom-hat) morphological operation on a source RandomAccessible, using a list of Shapes as a structuring element, and writes the result on a specified target which must be an IterableInterval.
blackTopHat(RandomAccessible<T>, IterableInterval<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.BlackTopHat: Performs the black top-hat (or bottom-hat) morphological operation on a RealType source RandomAccessible, using a Shape as a structuring element, and writes the result on a specified target which must be an IterableInterval.
blackTopHat(RandomAccessible<T>, IterableInterval<T>, Shape, T, T, int) - Static method in class net.imglib2.algorithm.morphology.BlackTopHat: Performs the black top-hat (or bottom-hat) morphological operation on a source RandomAccessible, using a Shape as a structuring element, and writes the result on a specified target which must be an IterableInterval.
blackTopHatInPlace(RandomAccessible<T>, Interval, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.BlackTopHat: Performs the black top-hat (or bottom-hat) morphological operation, on a RealType Img using a list of Shapes as a flat structuring element.
blackTopHatInPlace(RandomAccessible<T>, Interval, List<? extends Shape>, T, T, int) - Static method in class net.imglib2.algorithm.morphology.BlackTopHat: Performs the black top-hat (or bottom-hat) morphological operation, using a list of Shapes as a flat structuring element.
blackTopHatInPlace(RandomAccessible<T>, Interval, Shape, int) - Static method in class net.imglib2.algorithm.morphology.BlackTopHat: Performs the black top-hat (or bottom-hat) morphological operation, on a RealType Img using a Shape as a flat structuring element.
blackTopHatInPlace(RandomAccessible<T>, Interval, Shape, T, T, int) - Static method in class net.imglib2.algorithm.morphology.BlackTopHat: Performs the black top-hat (or bottom-hat) morphological operation, using a Shape as a flat structuring element.
block(RandomAccessible<T>, long[]) - Static method in class net.imglib2.algorithm.math.ImgMath
block(RandomAccessible<T>, long) - Static method in class net.imglib2.algorithm.math.ImgMath
block(RandomAccessible<T>, long[][]) - Static method in class net.imglib2.algorithm.math.ImgMath
BlockAlgoUtils - Class in net.imglib2.algorithm.blocks: Utilities for applying block algorithms to images.
BlockAlgoUtils() - Constructor for class net.imglib2.algorithm.blocks.BlockAlgoUtils
BlockProcessor<I,O> - Interface in net.imglib2.algorithm.blocks: A BlockProcessor computes values in a flattened primitive output array from values in a flattened primitive input array.
blockProcessor() - Method in class net.imglib2.algorithm.blocks.DefaultUnaryBlockOperator
blockProcessor() - Method in interface net.imglib2.algorithm.blocks.UnaryBlockOperator: Get (an instance of) the wrapped BlockProcessor.
BlockProcessorSourceInterval - Class in net.imglib2.algorithm.blocks.util: Helper class that wraps BlockProcessor.getSourcePos() and BlockProcessor.getSourceSize() as an Interval.
BlockProcessorSourceInterval(BlockProcessor<?, ?>) - Constructor for class net.imglib2.algorithm.blocks.util.BlockProcessorSourceInterval
BlockReadingDirect<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
BlockReadingDirect(O, RandomAccessible<O>, long[][], byte[]) - Constructor for class net.imglib2.algorithm.math.execution.BlockReadingDirect
BlockReadingSource,O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
BlockReadingSource(O, Converter<RealType<?>, O>, RandomAccessible, long[][], byte[]) - Constructor for class net.imglib2.algorithm.math.execution.BlockReadingSource
BlockReadSource> - Class in net.imglib2.algorithm.math: Intended for reading cuboid blocks out of an integral image.
BlockReadSource(RandomAccessible, long[]) - Constructor for class net.imglib2.algorithm.math.BlockReadSource: A block centered on a particular pixel.
BlockReadSource(RandomAccessible, long) - Constructor for class net.imglib2.algorithm.math.BlockReadSource: A block centered on a particular pixel.
BlockReadSource(RandomAccessible, long[][]) - Constructor for class net.imglib2.algorithm.math.BlockReadSource
blockSize - Variable in class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
BlockSupplier<T extends NativeType<T>> - Interface in net.imglib2.algorithm.blocks
Branchpoints - Class in net.imglib2.algorithm.morphology.table2d: Removes all pixels except those that are the branchpoints of a skeleton.
Branchpoints() - Constructor for class net.imglib2.algorithm.morphology.table2d.Branchpoints
branchpoints(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Branchpoints
branchpoints(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Branchpoints
Bridge - Class in net.imglib2.algorithm.morphology.table2d: Sets a pixel to 1 if it has two non-zero neighbors that are on opposite sides of this pixel.
Bridge() - Constructor for class net.imglib2.algorithm.morphology.table2d.Bridge
bridge(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Bridge
bridge(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Bridge
BrightToDark() - Constructor for class net.imglib2.algorithm.componenttree.BuildComponentTree.BrightToDark
BSplineCoefficientsInterpolator<T extends RealType<T>> - Interface in net.imglib2.algorithm.bspline: Performs b-spline interpolation for order up to and including 5.
BSplineCoefficientsInterpolatorEven<T extends RealType<T>> - Class in net.imglib2.algorithm.bspline: Computes b-spline coefficients for splines of even order.
BSplineCoefficientsInterpolatorEven(int, RandomAccessible<T>, T) - Constructor for class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorEven
BSplineCoefficientsInterpolatorFactory<T extends RealType<T>,S extends RealType<S>> - Class in net.imglib2.algorithm.interpolation.randomaccess
BSplineCoefficientsInterpolatorFactory(RandomAccessible<T>, Interval, int, boolean, ImgFactory<S>, OutOfBoundsFactory<? extends RealType<?>, ?>) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory: Creates a new BSplineCoefficientsInterpolatorFactory using the BSpline interpolation in a certain window
BSplineCoefficientsInterpolatorFactory(RandomAccessible<T>, Interval, int, boolean, S) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
BSplineCoefficientsInterpolatorFactory(RandomAccessible<T>, Interval, int, boolean) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
BSplineCoefficientsInterpolatorFactory(RandomAccessible<T>, Interval, int) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
BSplineCoefficientsInterpolatorFactory(RandomAccessible<T>, Interval) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
BSplineCoefficientsInterpolatorFactory(RandomAccessibleInterval<T>) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
BSplineCoefficientsInterpolatorFactory(RandomAccessibleInterval<T>, int, boolean, S) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
BSplineCoefficientsInterpolatorFactory(RandomAccessibleInterval<T>, int, boolean) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
BSplineCoefficientsInterpolatorFactory(RandomAccessibleInterval<T>, int) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
BSplineCoefficientsInterpolatorFactory(RandomAccessibleInterval<S>, int, boolean, OutOfBoundsFactory<? extends RealType<?>, ?>) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
BSplineCoefficientsInterpolatorFunction<T extends RealType<T>> - Class in net.imglib2.algorithm.bspline: Performs b-spline interpolation using pre-computed coefficients.
BSplineCoefficientsInterpolatorFunction(int, RandomAccess<Neighborhood<T>>, RealLocalizable, T) - Constructor for class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorFunction
BSplineCoefficientsInterpolatorFunction(int, RandomAccess<Neighborhood<T>>, RealLocalizable, T, boolean) - Constructor for class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorFunction
BSplineCoefficientsInterpolatorOdd<T extends RealType<T>> - Class in net.imglib2.algorithm.bspline: Computes b-spline coefficients for splines of odd order.
BSplineCoefficientsInterpolatorOdd(int, RandomAccessible<T>, T) - Constructor for class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorOdd
BSplineDecomposition<T extends RealType<T>,S extends RealType<S>> - Class in net.imglib2.algorithm.bspline: Compute Bspline coefficients from an image.
BSplineDecomposition(int, RandomAccessible<T>) - Constructor for class net.imglib2.algorithm.bspline.BSplineDecomposition
BSplineDecomposition(RandomAccessible<T>) - Constructor for class net.imglib2.algorithm.bspline.BSplineDecomposition
BSplineInterpolator<T extends RealType<T>> - Class in net.imglib2.algorithm.interpolation.randomaccess: Performs cubic b-spline interpolation by pre-computing coefficients on the fly.
BSplineInterpolator(BSplineInterpolator<T>) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
BSplineInterpolator(RandomAccessible<T>, int, boolean) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
BSplineInterpolator(RandomAccessibleInterval<T>) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator: Build a default cubic-bspline interpolator.
BSplineInterpolatorFactory<T extends RealType<T>> - Class in net.imglib2.algorithm.interpolation.randomaccess
BSplineInterpolatorFactory(boolean, int) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolatorFactory: Creates a new BSplineInterpolatorFactory using the BSpline interpolation in a certain window
BSplineInterpolatorFactory(boolean) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolatorFactory: Creates a new BSplineInterpolatorFactory using the BSpline interpolation in a certain window
BSplineInterpolatorFactory(int) - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolatorFactory: Creates a new BSplineInterpolatorFactory using the BSpline interpolation in a certain window
BSplineInterpolatorFactory() - Constructor for class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolatorFactory: Creates a new BSplineInterpolatorFactory with standard parameters (third-order, with clipping)
BsplineKernel0 - Class in net.imglib2.algorithm.bspline: A zeroth-order Bspline kernel Trivial, but included for completeness.
BsplineKernel0() - Constructor for class net.imglib2.algorithm.bspline.BsplineKernel0
BsplineKernel1 - Class in net.imglib2.algorithm.bspline: A first-order Bspline kernel Trivial, but included for completeness.
BsplineKernel1() - Constructor for class net.imglib2.algorithm.bspline.BsplineKernel1
BsplineKernel2 - Class in net.imglib2.algorithm.bspline: A second-order Bspline kernel
BsplineKernel2() - Constructor for class net.imglib2.algorithm.bspline.BsplineKernel2
BsplineKernel3 - Class in net.imglib2.algorithm.bspline: A third-order Bspline kernel
BsplineKernel3() - Constructor for class net.imglib2.algorithm.bspline.BsplineKernel3
BsplineKernel4 - Class in net.imglib2.algorithm.bspline: A fourth-order Bspline kernel
BsplineKernel4() - Constructor for class net.imglib2.algorithm.bspline.BsplineKernel4
BsplineKernel5 - Class in net.imglib2.algorithm.bspline: A fifth-order Bspline kernel
BsplineKernel5() - Constructor for class net.imglib2.algorithm.bspline.BsplineKernel5
BSplineLazyCoefficientsInterpolatorFactory<T extends RealType<T>,S extends RealType<S> & NativeType<S>> - Class in net.imglib2.algorithm.bspline
BSplineLazyCoefficientsInterpolatorFactory(RandomAccessible<T>, Interval, int, boolean, S, int[], OutOfBoundsFactory<? extends RealType<?>, ?>) - Constructor for class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory: Creates a new BSplineLazyCoefficientsInterpolatorFactory.
BSplineLazyCoefficientsInterpolatorFactory(RandomAccessible<T>, Interval, int, boolean, S, int[]) - Constructor for class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
BSplineLazyCoefficientsInterpolatorFactory(RandomAccessible<T>, int, boolean, S, int[], OutOfBoundsFactory<? extends RealType<?>, ?>) - Constructor for class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
BSplineLazyCoefficientsInterpolatorFactory(RandomAccessible<T>, int, boolean, S, int[]) - Constructor for class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
BSplineLazyCoefficientsInterpolatorFactory(RandomAccessible<T>, Interval, int, boolean, int[]) - Constructor for class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
BSplineLazyCoefficientsInterpolatorFactory(RandomAccessible<T>, Interval, int, int[]) - Constructor for class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
BSplineLazyCoefficientsInterpolatorFactory(RandomAccessible<T>, Interval, int[]) - Constructor for class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
BSplineLazyCoefficientsInterpolatorFactory(RandomAccessibleInterval<T>, int[]) - Constructor for class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
BSplineLazyCoefficientsInterpolatorFactory(RandomAccessibleInterval<T>, int, boolean, S, int[]) - Constructor for class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
BSplineLazyCoefficientsInterpolatorFactory(RandomAccessibleInterval<T>, int, boolean, int[]) - Constructor for class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
BSplineLazyCoefficientsInterpolatorFactory(RandomAccessibleInterval<T>, int, int[]) - Constructor for class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
BSplineLazyCoefficientsInterpolatorFactory.LazyCellImgFactory<T extends RealType<T>,S extends RealType<S> & NativeType<S>> - Class in net.imglib2.algorithm.bspline: Returns an image of coefficients that is lazily evaluated and cached.
bsplineOrder - Variable in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorEven
bsplineOrder - Variable in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorOdd
build(int, RandomAccessible<S>, S) - Static method in interface net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolator
BuildComponentTree<T extends Type<T>,C extends PartialComponent<T,C>> - Class in net.imglib2.algorithm.componenttree: Build the component tree of an image.
buildComponentTree(RandomAccessibleInterval<T>, PartialComponent.Generator<T, C>, PartialComponent.Handler<C>, Comparator<T>) - Static method in class net.imglib2.algorithm.componenttree.BuildComponentTree: Run the algorithm.
buildComponentTree(RandomAccessibleInterval<T>, PartialComponent.Generator<T, C>, PartialComponent.Handler<C>, boolean) - Static method in class net.imglib2.algorithm.componenttree.BuildComponentTree: Run the algorithm.
buildComponentTree(RandomAccessibleInterval<T>, T, boolean) - Static method in class net.imglib2.algorithm.componenttree.pixellist.PixelListComponentTree: Build a component tree from an input image.
buildComponentTree(RandomAccessibleInterval<T>, T, ImgFactory<LongType>, boolean) - Static method in class net.imglib2.algorithm.componenttree.pixellist.PixelListComponentTree: Build a component tree from an input image.
buildComponentTree(RandomAccessibleInterval<T>, T, Comparator<T>) - Static method in class net.imglib2.algorithm.componenttree.pixellist.PixelListComponentTree: Build a component tree from an input image.
buildComponentTree(RandomAccessibleInterval<T>, T, Comparator<T>, ImgFactory<LongType>) - Static method in class net.imglib2.algorithm.componenttree.pixellist.PixelListComponentTree: Build a component tree from an input image.
BuildComponentTree.BrightToDark<T extends Comparable<T>> - Class in net.imglib2.algorithm.componenttree: Default comparator for Comparable pixel values for bright-to-dark pass.
BuildComponentTree.DarkToBright<T extends Comparable<T>> - Class in net.imglib2.algorithm.componenttree: Default comparator for Comparable pixel values for dark-to-bright pass.
buildMserTree(RandomAccessibleInterval<T>, double, long, long, double, double, boolean) - Static method in class net.imglib2.algorithm.componenttree.mser.MserTree: Build a MSER tree from an input image.
buildMserTree(RandomAccessibleInterval<T>, T, long, long, double, double, boolean) - Static method in class net.imglib2.algorithm.componenttree.mser.MserTree: Build a MSER tree from an input image.
buildMserTree(RandomAccessibleInterval<T>, T, long, long, double, double, ImgFactory<LongType>, boolean) - Static method in class net.imglib2.algorithm.componenttree.mser.MserTree: Build a MSER tree from an input image.
buildMserTree(RandomAccessibleInterval<T>, ComputeDelta<T>, long, long, double, double, T, Comparator<T>) - Static method in class net.imglib2.algorithm.componenttree.mser.MserTree: Build a MSER tree from an input image.
buildMserTree(RandomAccessibleInterval<T>, ComputeDelta<T>, long, long, double, double, ImgFactory<LongType>, T, Comparator<T>) - Static method in class net.imglib2.algorithm.componenttree.mser.MserTree: Build a MSER tree from an input image.

C

c - Variable in class net.imglib2.algorithm.math.abstractions.ATrinaryFunction
c0() - Method in class net.imglib2.algorithm.bspline.AbstractBsplineKernel
c0() - Method in class net.imglib2.algorithm.bspline.BsplineKernel0
c0() - Method in class net.imglib2.algorithm.bspline.BsplineKernel1
c0() - Method in class net.imglib2.algorithm.bspline.BsplineKernel2
c0() - Method in class net.imglib2.algorithm.bspline.BsplineKernel3
c0() - Method in class net.imglib2.algorithm.bspline.BsplineKernel4
c0() - Method in class net.imglib2.algorithm.bspline.BsplineKernel5
cache(RandomAccessibleInterval<T>, int...) - Static method in interface net.imglib2.algorithm.lazy.Caches: Cache a RandomAccessibleInterval of the typical NativeType implementations in a memory cell image with volatile cells.
Caches - Interface in net.imglib2.algorithm.lazy: A simple method to cache an arbitrary a RandomAccessibleInterval of the typical NativeType implementations in a memory cell image with volatile cells.
Caches.RandomAccessibleLoader<T extends NativeType<T>> - Class in net.imglib2.algorithm.lazy: A simple CellLoader implementation that fills a pre-allocated cell with data from a RandomAccessible source at the same coordinates.
calculate() - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
calculate(Img<T>) - Method in class net.imglib2.algorithm.morphology.table2d.Abstract3x3TableOperation
calculate(RandomAccessible<T>, IterableInterval<T>) - Method in class net.imglib2.algorithm.morphology.table2d.Abstract3x3TableOperation
calculateEigenValues(RandomAccessibleInterval<T>, RandomAccessibleInterval, EigenValues<T, U>) - Static method in class net.imglib2.algorithm.linalg.eigen.TensorEigenValues
calculateEigenValues(RandomAccessibleInterval<T>, RandomAccessibleInterval, EigenValues<T, U>, int, ExecutorService) - Static method in class net.imglib2.algorithm.linalg.eigen.TensorEigenValues
calculateEigenValuesSquare(RandomAccessibleInterval<T>, RandomAccessibleInterval) - Static method in class net.imglib2.algorithm.linalg.eigen.TensorEigenValues
calculateEigenValuesSquare(RandomAccessibleInterval<T>, RandomAccessibleInterval, int, ExecutorService) - Static method in class net.imglib2.algorithm.linalg.eigen.TensorEigenValues
calculateEigenValuesSymmetric(RandomAccessibleInterval<T>, RandomAccessibleInterval) - Static method in class net.imglib2.algorithm.linalg.eigen.TensorEigenValues
calculateEigenValuesSymmetric(RandomAccessibleInterval<T>, RandomAccessibleInterval, int, ExecutorService) - Static method in class net.imglib2.algorithm.linalg.eigen.TensorEigenValues
calculateMatrix(RandomAccessible<T>, RandomAccessibleInterval, RandomAccessibleInterval, RandomAccessibleInterval, OutOfBoundsFactory<U, ? super RandomAccessibleInterval>, double...) - Static method in class net.imglib2.algorithm.gradient.HessianMatrix
calculateMatrix(RandomAccessible<T>, RandomAccessibleInterval<T>, RandomAccessibleInterval<T>, OutOfBoundsFactory<T, ? super RandomAccessibleInterval<T>>) - Static method in class net.imglib2.algorithm.gradient.HessianMatrix
calculateMatrix(RandomAccessible<T>, RandomAccessibleInterval<T>) - Static method in class net.imglib2.algorithm.gradient.HessianMatrix
calculateMatrix(RandomAccessible<T>, RandomAccessibleInterval, RandomAccessibleInterval, RandomAccessibleInterval, OutOfBoundsFactory<U, ? super RandomAccessibleInterval>, int, ExecutorService, double...) - Static method in class net.imglib2.algorithm.gradient.HessianMatrix
calculateMatrix(RandomAccessible<T>, RandomAccessibleInterval<T>, RandomAccessibleInterval<T>, OutOfBoundsFactory<T, ? super RandomAccessibleInterval<T>>, int, ExecutorService) - Static method in class net.imglib2.algorithm.gradient.HessianMatrix
calculateMatrix(RandomAccessible<T>, RandomAccessibleInterval<T>, int, ExecutorService) - Static method in class net.imglib2.algorithm.gradient.HessianMatrix
call() - Method in class net.imglib2.algorithm.gauss.AbstractGauss
canMoveOutside - Variable in class net.imglib2.algorithm.localextrema.SubpixelLocalization
cellImg(BlockSupplier<T>, long[], int[]) - Static method in class net.imglib2.algorithm.blocks.BlockAlgoUtils: Creates a CachedCellImg which copies cells from the specified blocks.
cellImg(PrimitiveBlocks<S>, UnaryBlockOperator<S, T>, T, long[], int[]) - Static method in class net.imglib2.algorithm.blocks.BlockAlgoUtils: Deprecated.
cellLoader(BlockSupplier<T>) - Static method in class net.imglib2.algorithm.blocks.BlockAlgoUtils
cellLoader(PrimitiveBlocks<S>, UnaryBlockOperator<S, T>) - Static method in class net.imglib2.algorithm.blocks.BlockAlgoUtils: Deprecated.
center - Variable in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
CenteredRectangleShape - Class in net.imglib2.algorithm.neighborhood: A factory for Accessibles on rectangular neighborhoods.
CenteredRectangleShape(int[], boolean) - Constructor for class net.imglib2.algorithm.neighborhood.CenteredRectangleShape: Constructs a factory for symmetric, non-isotropic rectangle neighborhoods.
centralAsymmetric(double...) - Static method in class net.imglib2.algorithm.convolution.kernel.Kernel1D: Creates a one-dimensional asymmetric convolution kernel, where the origin of the kernel is in the middle.
centralAsymmetric(double[][]) - Static method in class net.imglib2.algorithm.convolution.kernel.Kernel1D: Similar to Kernel1D.centralAsymmetric(double...) but creates an array of one-dimensional convolution kernels.
check(C, Neighborhood<T>) - Method in interface net.imglib2.algorithm.localextrema.LocalExtrema.LocalNeighborhoodCheck: Determine whether a pixel is a local extremum.
check(C, Neighborhood<T>) - Method in class net.imglib2.algorithm.localextrema.LocalExtrema.MaximumCheck
check(C, Neighborhood<T>) - Method in class net.imglib2.algorithm.localextrema.LocalExtrema.MinimumCheck
checkInput() - Method in interface net.imglib2.algorithm.Algorithm
checkInput() - Method in class net.imglib2.algorithm.floydsteinberg.FloydSteinbergDithering
checkInput() - Method in class net.imglib2.algorithm.integral.IntegralImg
checkInput() - Method in class net.imglib2.algorithm.integral.ScaleAreaAveraging2d
checkInput() - Method in class net.imglib2.algorithm.labeling.Watershed
checkInput() - Method in class net.imglib2.algorithm.stats.ComputeMinMax
checkInput() - Method in class net.imglib2.algorithm.stats.Histogram
children() - Method in interface net.imglib2.algorithm.math.abstractions.OFunction
children() - Method in class net.imglib2.algorithm.math.execution.Addition
children() - Method in class net.imglib2.algorithm.math.execution.BlockReadingSource
children() - Method in class net.imglib2.algorithm.math.execution.Comparison
children() - Method in class net.imglib2.algorithm.math.execution.Division
children() - Method in class net.imglib2.algorithm.math.execution.Exponential
children() - Method in class net.imglib2.algorithm.math.execution.IfStatement
children() - Method in class net.imglib2.algorithm.math.execution.IfStatementBoolean
children() - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterable
children() - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterableDirect
children() - Method in class net.imglib2.algorithm.math.execution.KDTreeRadiusSource
children() - Method in class net.imglib2.algorithm.math.execution.LetBinding
children() - Method in class net.imglib2.algorithm.math.execution.Logarithm
children() - Method in class net.imglib2.algorithm.math.execution.LogicalNot
children() - Method in class net.imglib2.algorithm.math.execution.Maximum
children() - Method in class net.imglib2.algorithm.math.execution.Minimum
children() - Method in class net.imglib2.algorithm.math.execution.Multiplication
children() - Method in class net.imglib2.algorithm.math.execution.NumericSource
children() - Method in class net.imglib2.algorithm.math.execution.Power
children() - Method in class net.imglib2.algorithm.math.execution.Printing
children() - Method in class net.imglib2.algorithm.math.execution.RandomAccessibleOffsetSource
children() - Method in class net.imglib2.algorithm.math.execution.Subtraction
children() - Method in class net.imglib2.algorithm.math.execution.Variable
children() - Method in class net.imglib2.algorithm.math.execution.ZeroMinus
Chunk - Class in net.imglib2.multithreading: Deprecated.
Chunk(long, long) - Constructor for class net.imglib2.multithreading.Chunk: Deprecated.
Ci - Variable in class net.imglib2.algorithm.bspline.BSplineDecomposition
CircleCursor<T> - Class in net.imglib2.algorithm.region: Iterates over a Bresenham 2D circle using the mid-point algorithm.
CircleCursor(RandomAccessible<T>, Localizable, long) - Constructor for class net.imglib2.algorithm.region.CircleCursor: Iterates over a Bresenham circle in the target RandomAccessible.
CircleCursor(RandomAccessible<T>, Localizable, long, int, int) - Constructor for class net.imglib2.algorithm.region.CircleCursor: Iterates over a Bresenham circle in the target RandomAccessible.
Circles - Class in net.imglib2.algorithm.region: Write circles in an image using the midpoint algorithm.
ClampType - Enum in net.imglib2.algorithm.blocks.convert: How to clamp values when converting between OperandType.
Clean - Class in net.imglib2.algorithm.morphology.table2d: Removes isolated pixels.
Clean() - Constructor for class net.imglib2.algorithm.morphology.table2d.Clean
clean(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Clean
clean(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Clean
clear() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelList: empty the list.
clear() - Static method in class net.imglib2.algorithm.util.Singleton: Clear all named singletons.
clip(ConvexPolytope) - Method in class net.imglib2.algorithm.kdtree.ClipConvexPolytopeKDTree
clip(double[][]) - Method in class net.imglib2.algorithm.kdtree.ClipConvexPolytopeKDTree
ClipConvexPolytopeKDTree<T> - Class in net.imglib2.algorithm.kdtree: Partition nodes in a KDTree into disjoint sets of nodes that are inside and outside a given convex polytope, respectively.
ClipConvexPolytopeKDTree(KDTree<T>) - Constructor for class net.imglib2.algorithm.kdtree.ClipConvexPolytopeKDTree
clipping - Variable in class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
clipping - Variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
clipping - Variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
clone() - Method in class net.imglib2.algorithm.util.unionfind.IntArrayUnionFind
clone() - Method in class net.imglib2.algorithm.util.unionfind.LongHashMapUnionFind
close(Img<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Closing: Performs the morphological closing operation on a RealType Img, using a list of Shapes as a structuring element.
close(Img<T>, List<? extends Shape>, T, T, int) - Static method in class net.imglib2.algorithm.morphology.Closing: Performs the morphological closing operation on an Img of Comparable , using a list of Shapes as a structuring element.
close(Img<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Closing: Performs the morphological closing operation on a RealType Img, using a Shape as a structuring element.
close(Img<T>, Shape, T, T, int) - Static method in class net.imglib2.algorithm.morphology.Closing: Performs the morphological closing operation on an Img of Comparable , using a Shape as a structuring element.
close(RandomAccessible<T>, IterableInterval<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Closing: Performs the morphological closing operation on a RealType source RandomAccessible, using a list of Shapes as a structuring element, and writes the result on a specified target which must be an IterableInterval.
close(RandomAccessible<T>, IterableInterval<T>, List<? extends Shape>, T, T, int) - Static method in class net.imglib2.algorithm.morphology.Closing: Performs the morphological closing operation on a source RandomAccessible, using a list of Shapes as a structuring element, and writes the result on a specified target which must be an IterableInterval.
close(RandomAccessible<T>, IterableInterval<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Closing: Performs the morphological closing operation on a RealType source RandomAccessible, using a Shape as a structuring element, and writes the result on a specified target which must be an IterableInterval.
close(RandomAccessible<T>, IterableInterval<T>, Shape, T, T, int) - Static method in class net.imglib2.algorithm.morphology.Closing: Performs the morphological closing operation on a source RandomAccessible, using a Shape as a structuring element, and writes the result on a specified target which must be an IterableInterval.
closeInPlace(RandomAccessibleInterval<T>, Interval, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Closing: Performs the closing morphological operation, on a source RandomAccessibleInterval using a list of Shapes as a flat structuring element.
closeInPlace(RandomAccessibleInterval<T>, Interval, List<? extends Shape>, T, T, int) - Static method in class net.imglib2.algorithm.morphology.Closing: Performs the closing morphological operation, on a RandomAccessibleInterval using a list of Shapes as a flat structuring element.
closeInPlace(RandomAccessibleInterval<T>, Interval, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Closing: Performs the closing morphological operation, on a RealType RandomAccessibleInterval using a Shape as a flat structuring element.
closeInPlace(RandomAccessibleInterval<T>, Interval, Shape, T, T, int) - Static method in class net.imglib2.algorithm.morphology.Closing: Performs the closing morphological operation, on a RandomAccessibleInterval using a Shape as a flat structuring element.
Closing - Class in net.imglib2.algorithm.morphology
coefficientAccess - Variable in class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
coefficients - Variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
coefficientStorage - Variable in class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
coefficientType - Variable in class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
collectAllContainedIntervals(long[], int[]) - Static method in class net.imglib2.algorithm.util.Grids: Get all blocks of size blockSize contained within an interval specified by dimensions and their positions within a cell grid.
collectAllContainedIntervals(long[], long[], int[]) - Static method in class net.imglib2.algorithm.util.Grids: Get all blocks of size blockSize contained within an interval specified by min, max and their positions within a cell grid.
collectAllContainedIntervalsWithGridPositions(long[], int[]) - Static method in class net.imglib2.algorithm.util.Grids: Get all blocks of size blockSize contained within an interval specified by dimensions and their positions within a cell grid.
collectAllContainedIntervalsWithGridPositions(long[], long[], int[]) - Static method in class net.imglib2.algorithm.util.Grids: Get all blocks of size blockSize contained within an interval specified by min, max and their positions within a cell grid.
collectAllOffsets(long[], int[]) - Static method in class net.imglib2.algorithm.util.Grids: Get all blocks of size blockSize contained within an interval specified by dimensions.
collectAllOffsets(long[], int[], Function<long[], T>) - Static method in class net.imglib2.algorithm.util.Grids: Get all blocks of size blockSize contained within an interval specified by dimensions.
collectAllOffsets(long[], long[], int[]) - Static method in class net.imglib2.algorithm.util.Grids: Get all blocks of size blockSize contained within an interval specified by min and max.
collectAllOffsets(long[], long[], int[], Function<long[], T>) - Static method in class net.imglib2.algorithm.util.Grids: Get all blocks of size blockSize contained within an interval specified by min and max.
compare(T, T) - Method in class net.imglib2.algorithm.componenttree.BuildComponentTree.BrightToDark
compare(T, T) - Method in class net.imglib2.algorithm.componenttree.BuildComponentTree.DarkToBright
Compare - Class in net.imglib2.algorithm.math.abstractions
Compare(Object, Object) - Constructor for class net.imglib2.algorithm.math.abstractions.Compare
compare(O, O) - Method in class net.imglib2.algorithm.math.execution.Comparison
compare(O, O) - Method in class net.imglib2.algorithm.math.execution.Equality
compare(O, O) - Method in class net.imglib2.algorithm.math.execution.IsGreaterThan
compare(O, O) - Method in class net.imglib2.algorithm.math.execution.IsLessThan
compare(O, O) - Method in class net.imglib2.algorithm.math.execution.LogicalAnd
compare(O, O) - Method in class net.imglib2.algorithm.math.execution.LogicalOr
compare(O, O) - Method in class net.imglib2.algorithm.math.execution.LogicalXor
compare(O, O) - Method in class net.imglib2.algorithm.math.execution.NotEquality
compareTo(Watershed.PixelIntensity) - Method in class net.imglib2.algorithm.labeling.Watershed.PixelIntensity
Comparison<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
Comparison(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.Comparison
compatible_iteration_order - Variable in class net.imglib2.algorithm.math.Compute.Parameters
compatibleIterationOrder(List<RandomAccessibleInterval<?>>) - Static method in class net.imglib2.algorithm.math.abstractions.Util: Check for compatibility among the iteration order of the images, and throws a RuntimeException When images have different dimensions.
Component<T,C extends Component<T,C>> - Interface in net.imglib2.algorithm.componenttree: Represents a connected component and a node in a ComponentTree.
ComponentForest<C extends Component<?,C>> - Interface in net.imglib2.algorithm.componenttree: A component forest.
ComponentTree<C extends Component<?,C>> - Interface in net.imglib2.algorithm.componenttree: A component tree.
compute(I, O) - Method in interface net.imglib2.algorithm.blocks.BlockProcessor: Compute the dest array from the src array.
compute(S, T, U) - Method in interface net.imglib2.algorithm.function.Function: Perform an operation with inputs S and T and output U.
compute(A, A, A) - Method in class net.imglib2.algorithm.function.SubtractNorm
compute(A, B, C) - Method in class net.imglib2.algorithm.function.SubtractNormReal
compute(A, B, C) - Method in class net.imglib2.algorithm.function.SubtractReal
compute(Composite<T>, Composite) - Method in interface net.imglib2.algorithm.linalg.eigen.EigenValues
compute(Composite<T>, Composite) - Method in class net.imglib2.algorithm.linalg.eigen.EigenValues1D
compute(Composite<T>, Composite) - Method in class net.imglib2.algorithm.linalg.eigen.EigenValues2DSquare
compute(Composite<T>, Composite) - Method in class net.imglib2.algorithm.linalg.eigen.EigenValues2DSymmetric
compute(Composite<T>, Composite) - Method in class net.imglib2.algorithm.linalg.eigen.EigenValuesSquare
compute(Composite<T>, Composite) - Method in class net.imglib2.algorithm.linalg.eigen.EigenValuesSymmetric
Compute - Class in net.imglib2.algorithm.math
Compute(IFunction) - Constructor for class net.imglib2.algorithm.math.Compute: Validate the {code operation}.
compute(IFunction) - Static method in class net.imglib2.algorithm.math.ImgMath
compute(RandomAccessibleInterval) - Static method in class net.imglib2.algorithm.math.ImgMath
compute(long, long, T, T) - Method in class net.imglib2.algorithm.stats.ComputeMinMax
Compute.Parameters - Class in net.imglib2.algorithm.math
computeAssignments(double[][]) - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
computeCostMatrix(ConfusionMatrix, double) - Static method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics: Computes a cost matrix using the confusion matrix cM.
computeCostMatrix(ConfusionMatrix) - Static method in class net.imglib2.algorithm.metrics.segmentation.SEGMetrics
ComputeDelta<T> - Interface in net.imglib2.algorithm.componenttree.mser: For a given threshold value compute the threshold value delta steps down the component tree.
ComputeDeltaBrightToDark<T extends NumericType<T>> - Class in net.imglib2.algorithm.componenttree.mser: Default implementation of ComputeDelta for bright-to-dark pass for NumericType.
ComputeDeltaDarkToBright<T extends NumericType<T>> - Class in net.imglib2.algorithm.componenttree.mser: Default implementation of ComputeDelta for dark-to-bright pass for NumericType.
computeFinalScores(ConfusionMatrix, double[][], double) - Static method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics: Compute all metrics scores by matching ground-truth labels (row indices) with predicted labels (column indices).
computeInto(IFunction, RandomAccessibleInterval<O>) - Static method in class net.imglib2.algorithm.math.ImgMath
computeInto(IFunction, RandomAccessibleInterval<O>, Converter<RealType<?>, O>) - Static method in class net.imglib2.algorithm.math.ImgMath
computeIntoArrayImg(IFunction) - Static method in class net.imglib2.algorithm.math.ImgMath
computeIntoFloats(IFunction) - Static method in class net.imglib2.algorithm.math.ImgMath
computeIntoImg(IFunction) - Static method in class net.imglib2.algorithm.math.ImgMath
computeKernel() - Method in class net.imglib2.algorithm.gauss.AbstractGauss: Compute the Gaussian Kernel for all dimensions
computeMetrics(RandomAccessibleInterval<T>, RandomAccessibleInterval<T>) - Static method in class net.imglib2.algorithm.metrics.imagequality.MSE: Compute the mean squared error (MSE) score between reference and processed images.
computeMetrics(RandomAccessibleInterval<T>, RandomAccessibleInterval<T>, NRMSE.Normalization) - Static method in class net.imglib2.algorithm.metrics.imagequality.NRMSE: Compute the normalised root mean squared error (NRMSE) score between reference and processed images.
computeMetrics(RandomAccessibleInterval<T>, RandomAccessibleInterval<T>) - Static method in class net.imglib2.algorithm.metrics.imagequality.PSNR: Compute the peak signal-to-noise ratio (PSNR) score between reference and processed images.
computeMetrics(RandomAccessibleInterval<T>, RandomAccessibleInterval<T>, double) - Static method in class net.imglib2.algorithm.metrics.imagequality.SSIM: Compute the SSIM metrics.
computeMetrics(ImgLabeling<T, I>, ImgLabeling<U, J>, double) - Static method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics: Compute the global metrics scores between labels from a ground-truth and a predicted image.
computeMetrics(RandomAccessibleInterval, RandomAccessibleInterval<J>, double) - Static method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics: Compute the global metrics scores between labels from a ground-truth and a predicted image.
computeMetrics(ImgLabeling<T, I>, ImgLabeling<U, J>) - Static method in class net.imglib2.algorithm.metrics.segmentation.SEGMetrics: Compute a global SEG score between labels from a ground-truth and a predicted image.
computeMetrics(RandomAccessibleInterval, RandomAccessibleInterval<J>) - Static method in class net.imglib2.algorithm.metrics.segmentation.SEGMetrics: Compute a global SEG score between labels from a ground-truth and a predicted image.
computeMinIsotropicSigma(double, double, double[]) - Static method in class net.imglib2.algorithm.dog.DifferenceOfGaussian: Helper function to compute the minimum sigma that can be given to DifferenceOfGaussian.computeSigmas(double, double, double[], double, double) while still achieving isotropic smoothed images.
ComputeMinMax<T extends Type<T> & Comparable<T>> - Class in net.imglib2.algorithm.stats: TODO
ComputeMinMax(IterableInterval<T>, T, T) - Constructor for class net.imglib2.algorithm.stats.ComputeMinMax
computeMinMax(RandomAccessibleInterval<T>, T, T) - Static method in class net.imglib2.algorithm.stats.ComputeMinMax: Computes minimal and maximal value in a given interval
computeScore() - Method in class net.imglib2.algorithm.metrics.segmentation.LazyMultiMetrics: Compute the total MultiMetrics scores.
computeScore() - Method in class net.imglib2.algorithm.metrics.segmentation.LazySEGMetrics: Compute the total SEG score.
computeSigmas(double, double, double[], double, double) - Static method in class net.imglib2.algorithm.dog.DifferenceOfGaussian: Helper function to compute per-dimension sigmas in pixel coordinates.
computeSize() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood: Compute the number of elements for iteration
computeSize() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere: Compute the number of elements for iteration
computeTargetImageDimensionsAndOffset(Interval, Shape) - Static method in class net.imglib2.algorithm.morphology.MorphologyUtils: Static util to compute the final image dimensions and required offset when performing a full dilation with the specified strel.
computeType - Variable in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction
concat(Convolution<T>...) - Static method in interface net.imglib2.algorithm.convolution.Convolution: Concatenate multiple Convolutions to one convolution.
concat(List<? extends Convolution<T>>) - Static method in interface net.imglib2.algorithm.convolution.Convolution
ConfusionMatrix,J extends IntegerType<J>> - Class in net.imglib2.algorithm.metrics.segmentation: In an instance segmentation problem, where each instance is represented by an ensemble of pixels with equal value, the confusion matrix between the ground-truth and a predicted image is a 2D matrix whose elements Cij are equal to the number of pixels shared between ground-truth label i and predicted label j.
ConfusionMatrix(RandomAccessibleInterval, RandomAccessibleInterval<J>) - Constructor for class net.imglib2.algorithm.metrics.segmentation.ConfusionMatrix: Constructor.
ConnectedComponentAnalysis - Class in net.imglib2.algorithm.labeling
ConnectedComponentAnalysis() - Constructor for class net.imglib2.algorithm.labeling.ConnectedComponentAnalysis
connectedComponents(RandomAccessibleInterval, RandomAccessibleInterval<L>) - Static method in class net.imglib2.algorithm.labeling.ConnectedComponentAnalysis: Implementation of connected component analysis that uses IntArrayRankedUnionFind to find sets of pixels that are connected with respect to a 4-neighborhood (DiamondShape) or the generalization for higher dimenions over a binary mask.
connectedComponents(RandomAccessibleInterval, RandomAccessibleInterval<L>, Shape) - Static method in class net.imglib2.algorithm.labeling.ConnectedComponentAnalysis: Implementation of connected component analysis that uses IntArrayRankedUnionFind to find sets of pixels that are connected with respect to a neighborhood (shape) over a binary mask.
connectedComponents(RandomAccessibleInterval, RandomAccessibleInterval<L>, Shape, LongFunction<UnionFind>, ToLongBiFunction<Localizable, L>, LongUnaryOperator) - Static method in class net.imglib2.algorithm.labeling.ConnectedComponentAnalysis: Implementation of connected component analysis that uses UnionFind to find sets of pixels that are connected with respect to a neighborhood (shape) over a binary mask.
ConnectedComponents - Class in net.imglib2.algorithm.labeling: Label all connected components of a binary image.
ConnectedComponents() - Constructor for class net.imglib2.algorithm.labeling.ConnectedComponents
ConnectedComponents.StructuringElement - Enum in net.imglib2.algorithm.labeling
connectedComponentsOnAffinities(RandomAccessible<C>, long[][], RandomAccessibleInterval<L>, UnionFind, ToLongBiFunction<Localizable, L>, LongUnaryOperator) - Static method in class net.imglib2.algorithm.labeling.ConnectedComponentAnalysis: Connected components on a regular arbitrary boolean affinity graph.
connectedComponentsOnAffinities(RandomAccessible<C>, long[][], RandomAccessibleInterval<L>, UnionFind, long) - Static method in class net.imglib2.algorithm.labeling.ConnectedComponentAnalysis: Connected components on a regular arbitrary boolean affinity graph.
Convert - Class in net.imglib2.algorithm.blocks.convert: Create UnaryBlockOperator to convert blocks between standard ImgLib2 Types.
Convert() - Constructor for class net.imglib2.algorithm.blocks.convert.Convert
convert(S, T) - Static method in class net.imglib2.algorithm.blocks.convert.Convert: Create UnaryBlockOperator to convert blocks between sourceType and targetType.
convert(S, T, ClampType) - Static method in class net.imglib2.algorithm.blocks.convert.Convert: Create UnaryBlockOperator to convert blocks between sourceType and targetType.
convert(S, T, Supplier<Converter<? super S, T>>) - Static method in class net.imglib2.algorithm.blocks.convert.Convert: Create UnaryBlockOperator to convert blocks between sourceType and targetType with the specified Converter.
convert(A, A) - Method in class net.imglib2.algorithm.function.NormMinMax
converter - Variable in class net.imglib2.algorithm.integral.IntegralImg
ConvexPolytope - Class in net.imglib2.algorithm.kdtree
ConvexPolytope(Collection<? extends HyperPlane>) - Constructor for class net.imglib2.algorithm.kdtree.ConvexPolytope
ConvexPolytope(HyperPlane...) - Constructor for class net.imglib2.algorithm.kdtree.ConvexPolytope
Convolution<T> - Interface in net.imglib2.algorithm.convolution: This interface allows the client to perform a convolution.
convolution(double[]) - Static method in class net.imglib2.algorithm.convolution.fast_gauss.FastGauss
convolution(double) - Static method in class net.imglib2.algorithm.convolution.fast_gauss.FastGauss
convolution(Kernel1D...) - Static method in class net.imglib2.algorithm.convolution.kernel.SeparableKernelConvolution: Return an object, that performs the separable convolution with the given kernel.
convolution1d(double, int) - Static method in class net.imglib2.algorithm.convolution.fast_gauss.FastGauss
convolution1d(Kernel1D, int) - Static method in class net.imglib2.algorithm.convolution.kernel.SeparableKernelConvolution: Apply a convolution only in one dimension.
convolve(double[], RandomAccessible<? extends RealType<?>>, RandomAccessibleInterval<? extends RealType<?>>) - Static method in class net.imglib2.algorithm.convolution.fast_gauss.FastGauss
convolve(double, RandomAccessible<? extends RealType<?>>, RandomAccessibleInterval<? extends RealType<?>>) - Static method in class net.imglib2.algorithm.convolution.fast_gauss.FastGauss
convolve(Kernel1D[], RandomAccessible<? extends NumericType<?>>, RandomAccessibleInterval<? extends NumericType<?>>) - Static method in class net.imglib2.algorithm.convolution.kernel.SeparableKernelConvolution: Convolve source with a separable kernel and write the result to output.
convolve(double[][], RandomAccessible<S>, RandomAccessibleInterval<T>, ExecutorService) - Static method in class net.imglib2.algorithm.gauss3.SeparableSymmetricConvolution: Deprecated.
Use SeparableKernelConvolution.convolution(Kernel1D[])
Convolve source with a separable symmetric kernel and write the result to output. In-place operation (source==target) is supported.
If the target type T is DoubleType, all calculations are done in double precision. For all other target RealTypes float precision is used. General NumericTypes are computed in their own precision. The source type S and target type T are either both RealTypes or both the same type.
convolve(double[][], RandomAccessible<S>, RandomAccessibleInterval<T>, ConvolverFactory<S, I>, ConvolverFactory<I, I>, ConvolverFactory<I, T>, ConvolverFactory<S, T>, ImgFactory, ExecutorService) - Static method in class net.imglib2.algorithm.gauss3.SeparableSymmetricConvolution: Deprecated.
Use SeparableKernelConvolution.convolution(Kernel1D[]). Or LineConvolution and Convolution.concat(net.imglib2.algorithm.convolution.Convolution<T>...).
Convolve source with a separable symmetric kernel and write the result to output. In-place operation (source==target) is supported. Calculations are done in the intermediate type determined by the ConvolverFactories.
convolve(double[][], RandomAccessible<S>, RandomAccessibleInterval<T>, ConvolverFactory<S, I>, ConvolverFactory<I, I>, ConvolverFactory<I, T>, ConvolverFactory<S, T>, ImgFactory, I, ExecutorService) - Static method in class net.imglib2.algorithm.gauss3.SeparableSymmetricConvolution: Deprecated.
Use SeparableSymmetricConvolution.convolve( double[][], RandomAccessible, RandomAccessibleInterval, ConvolverFactory, ConvolverFactory, ConvolverFactory, ConvolverFactory, ImgFactory, ExecutorService) instead.
convolve1d(double[], RandomAccessible<S>, RandomAccessibleInterval<T>, ConvolverFactory<S, T>, ExecutorService) - Static method in class net.imglib2.algorithm.gauss3.SeparableSymmetricConvolution: Deprecated.
Use SeparableKernelConvolution.convolution1d(net.imglib2.algorithm.convolution.kernel.Kernel1D, int)
ConvolverFactory<S,T> - Interface in net.imglib2.algorithm.gauss3: Deprecated.
ConvolverFactoryNativeType(T) - Constructor for class net.imglib2.algorithm.gauss3.ConvolverNativeType.ConvolverFactoryNativeType: Deprecated.
ConvolverFactoryNativeTypeBuffered(T) - Constructor for class net.imglib2.algorithm.gauss3.ConvolverNativeTypeBuffered.ConvolverFactoryNativeTypeBuffered: Deprecated.
ConvolverNativeType<T extends NumericType<T> & NativeType<T>> - Class in net.imglib2.algorithm.convolution.kernel: A 1-dimensional line convolver that operates on all NumericType with NativeType representation.
ConvolverNativeType(Kernel1D, RandomAccess<? extends T>, RandomAccess<? extends T>, int, long) - Constructor for class net.imglib2.algorithm.convolution.kernel.ConvolverNativeType
ConvolverNativeType<T extends NumericType<T> & NativeType<T>> - Class in net.imglib2.algorithm.gauss3: Deprecated.
ConvolverNativeType.ConvolverFactoryNativeType<T extends NumericType<T> & NativeType<T>> - Class in net.imglib2.algorithm.gauss3: Deprecated.
ConvolverNativeTypeBuffered<T extends NumericType<T> & NativeType<T>> - Class in net.imglib2.algorithm.gauss3: Deprecated.
ConvolverNativeTypeBuffered.ConvolverFactoryNativeTypeBuffered<T extends NumericType<T> & NativeType<T>> - Class in net.imglib2.algorithm.gauss3: Deprecated.
ConvolverNumericType<T extends NumericType<T>> - Class in net.imglib2.algorithm.convolution.kernel: A 1-dimensional line convolver that operates on all NumericType.
ConvolverNumericType(Kernel1D, RandomAccess<? extends T>, RandomAccess<? extends T>, int, long) - Constructor for class net.imglib2.algorithm.convolution.kernel.ConvolverNumericType
ConvolverNumericType<T extends NumericType<T>> - Class in net.imglib2.algorithm.gauss3: Deprecated.
ConvolverNumericType.ConvolverNumericTypeFactory<T extends NumericType<T>> - Class in net.imglib2.algorithm.gauss3: Deprecated.
ConvolverNumericTypeFactory(T) - Constructor for class net.imglib2.algorithm.gauss3.ConvolverNumericType.ConvolverNumericTypeFactory: Deprecated.
copy(long[], Object, int[]) - Method in interface net.imglib2.algorithm.blocks.BlockSupplier: Copy a block from the (T-typed) source into primitive arrays (of the appropriate type).
copy(int[], Object, int[]) - Method in interface net.imglib2.algorithm.blocks.BlockSupplier: Copy a block from the (T-typed) source into primitive arrays (of the appropriate type).
copy(Interval, Object) - Method in interface net.imglib2.algorithm.blocks.BlockSupplier: Copy a block from the (T-typed) source into primitive arrays (of the appropriate type).
copy() - Method in interface net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolator
copy() - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorEven
copy() - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorOdd
copy() - Method in class net.imglib2.algorithm.gauss.SamplingLineIterator: Deprecated.
copy() - Method in class net.imglib2.algorithm.gradient.ScaleAsFunctionOfPosition.ScaledRandomAccess
copy() - Method in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
copy() - Method in interface net.imglib2.algorithm.linalg.eigen.EigenValues
copy() - Method in class net.imglib2.algorithm.linalg.eigen.EigenValuesSquare
copy() - Method in class net.imglib2.algorithm.linalg.eigen.EigenValuesSymmetric
copy() - Method in class net.imglib2.algorithm.math.execution.FunctionCursor
copy() - Method in class net.imglib2.algorithm.math.execution.FunctionCursorDouble
copy() - Method in class net.imglib2.algorithm.math.execution.FunctionCursorDoubleIncompatibleOrder
copy() - Method in class net.imglib2.algorithm.math.execution.FunctionCursorIncompatibleOrder
copy() - Method in class net.imglib2.algorithm.math.execution.FunctionRandomAccess
copy() - Method in class net.imglib2.algorithm.math.execution.FunctionRandomAccessDouble
copy() - Method in class net.imglib2.algorithm.math.execution.KDTreeRadiusSource
copy() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
copy() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
copy() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
copy() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
copy() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
copy() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
copy() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodCursor
copy() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
copy() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor
copy() - Method in class net.imglib2.algorithm.region.CircleCursor
copy() - Method in class net.imglib2.algorithm.region.EllipseCursor
copy() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
copy() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
copy() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2: Deprecated.
copyRealRandomAccess() - Method in interface net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolator
copyRealRandomAccess() - Method in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
countColumns() - Method in class net.imglib2.algorithm.linalg.matrix.RealCompositeMatrix
countRows() - Method in class net.imglib2.algorithm.linalg.matrix.RealCompositeMatrix
cov() - Method in class net.imglib2.algorithm.componenttree.mser.Mser: Covariance of the pixel positions in the region.
create(RandomAccessibleInterval<T>) - Method in interface net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolator
create(RandomAccessibleInterval<T>, RealInterval) - Method in interface net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolator
create(RandomAccessible<T>) - Method in class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
create(RandomAccessible<T>, RealInterval) - Method in class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
create(long...) - Method in class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory.LazyCellImgFactory
create(long[], S) - Method in class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory.LazyCellImgFactory
create(double[], RandomAccess<S>, RandomAccess<T>, int, long) - Method in interface net.imglib2.algorithm.gauss3.ConvolverFactory: Deprecated.

Create a 1-dimensional line convolver.
create(double[], RandomAccess<T>, RandomAccess<T>, int, long) - Method in class net.imglib2.algorithm.gauss3.ConvolverNativeType.ConvolverFactoryNativeType: Deprecated.
create(double[], RandomAccess<T>, RandomAccess<T>, int, long) - Method in class net.imglib2.algorithm.gauss3.ConvolverNativeTypeBuffered.ConvolverFactoryNativeTypeBuffered: Deprecated.
create(double[], RandomAccess<T>, RandomAccess<T>, int, long) - Method in class net.imglib2.algorithm.gauss3.ConvolverNumericType.ConvolverNumericTypeFactory: Deprecated.
create(RandomAccessible<T>) - Method in class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
create(RandomAccessible<T>, RealInterval) - Method in class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
create(RandomAccessible<T>) - Method in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolatorFactory
create(RandomAccessible<T>, RealInterval) - Method in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolatorFactory: For now, ignore the RealInterval and return BSplineInterpolatorFactory.create(RandomAccessible).
create(long[], long, RandomAccess<T>) - Method in interface net.imglib2.algorithm.neighborhood.DiamondNeighborhoodFactory
create(long[], long, RandomAccess<T>) - Method in interface net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodFactory
create(long[], long, int, boolean, RandomAccess<T>) - Method in interface net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodFactory
create(long[], long, RandomAccess<T>) - Method in interface net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodFactory
create(long[], long[], RandomAccess<T>) - Method in interface net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodFactory
create(long[], long, int[], RandomAccess<T>) - Method in interface net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodFactory
create(long[], long[], long[], Interval, RandomAccess<T>) - Method in interface net.imglib2.algorithm.neighborhood.RectangleNeighborhoodFactory
CreateAndCropBlockToFitInterval(int[], long[]) - Constructor for class net.imglib2.algorithm.util.Grids.CreateAndCropBlockToFitInterval
CreateAndCropBlockToFitInterval(int[], Interval) - Constructor for class net.imglib2.algorithm.util.Grids.CreateAndCropBlockToFitInterval: Convenience constructor for Interval.
createAppropriateResultImg(RandomAccessibleInterval<T>, ImgFactory) - Static method in class net.imglib2.algorithm.linalg.eigen.TensorEigenValues: Create appropriately sized image for tensor input.
createAppropriateResultImg(RandomAccessibleInterval<T>, ImgFactory, U) - Static method in class net.imglib2.algorithm.linalg.eigen.TensorEigenValues: Deprecated.
Use TensorEigenValues.createAppropriateResultImg(RandomAccessibleInterval, ImgFactory) instead.
createComponent(T) - Method in interface net.imglib2.algorithm.componenttree.PartialComponent.Generator: Create a new empty component with the given value (e.g., grey-level).
createErrorDiffusionKernel(int) - Method in class net.imglib2.algorithm.floydsteinberg.FloydSteinbergDithering
createInputLineSampler(int, Interval) - Method in class net.imglib2.algorithm.gauss.AbstractGauss: An Iterator that samples a one dimensional line of input data for the current dimension.
createMaxComponent() - Method in interface net.imglib2.algorithm.componenttree.PartialComponent.Generator: Create a component with a value (e.g., grey-level) greater than any occurring in the input for the BuildComponentTree.
createOutputLineWriter(int, Interval, SamplingLineIterator<T>) - Method in class net.imglib2.algorithm.gauss.AbstractGauss: An Iterator that samples a one dimensional line of output data for the current dimension.
croppedIntervalAndGridPosition(long[], int[]) - Static method in class net.imglib2.algorithm.util.Grids
croppedIntervalAndGridPosition(long[], long[], int[]) - Static method in class net.imglib2.algorithm.util.Grids: Convenience method to create Function that maps a block minimum into a Pair of Interval and long[] that specify the block and its position in grid coordinates.
cubicCardinalSpline(double, int) - Static method in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
currentMax - Variable in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
currentMin - Variable in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
currentNeighborhood - Variable in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler
currentNeighborhood - Variable in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler
currentNeighborhood - Variable in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler
currentNeighborhood - Variable in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler
currentNeighborhood - Variable in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler
currentNeighborhood - Variable in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler
currentNeighborhood - Variable in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
currentPos - Variable in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler
currentPos - Variable in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler
currentPos - Variable in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler
currentPos - Variable in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler
currentPos - Variable in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler
currentPos - Variable in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler
currentPos - Variable in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
cursor(Converter<RealType<?>, C>, C, O, Converter<C, O>) - Method in class net.imglib2.algorithm.math.Compute
cursor(C, O) - Method in class net.imglib2.algorithm.math.Compute
cursor(O) - Method in class net.imglib2.algorithm.math.Compute
cursor() - Method in class net.imglib2.algorithm.math.Compute: Returns a Cursor with the same type as the first input image found.
cursor - Variable in class net.imglib2.algorithm.math.execution.FunctionCursor
cursor() - Method in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction
cursor() - Method in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunctionDouble
cursor() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
cursor() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodUnsafe
cursor() - Method in class net.imglib2.algorithm.neighborhood.DiamondShape.NeighborhoodsIterableInterval
cursor() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
cursor() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodUnsafe
cursor() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape.NeighborhoodsIterableInterval
cursor() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
cursor() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodUnsafe
cursor() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape.NeighborhoodsIterableInterval
cursor() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
cursor() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodUnsafe
cursor() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape.NeighborhoodsIterableInterval
cursor() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
cursor() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodUnsafe
cursor() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape.NeighborhoodsIterableInterval
cursor() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
cursor() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodUnsafe
cursor() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape.NeighborhoodsIterableInterval
cursor() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
cursor() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
cursor() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenterUnsafe
cursor() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodUnsafe
cursor() - Method in class net.imglib2.algorithm.neighborhood.RectangleShape.NeighborhoodsIterableInterval
cursor() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
cursor() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
cursor() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
cursorDouble(O, Converter<RealType<?>, O>) - Method in class net.imglib2.algorithm.math.Compute
cursorDouble(O) - Method in class net.imglib2.algorithm.math.Compute
cursorDouble() - Method in class net.imglib2.algorithm.math.Compute: Returns a Cursor with the same type as the first input image found.

D

DarkToBright() - Constructor for class net.imglib2.algorithm.componenttree.BuildComponentTree.DarkToBright
data - Variable in class net.imglib2.algorithm.linalg.matrix.RealCompositeMatrix
DEFAULT_THETA - Static variable in class net.imglib2.algorithm.hough.HoughTransforms
DefaultUnaryBlockOperator<S extends NativeType<S>,T extends NativeType<T>> - Class in net.imglib2.algorithm.blocks
DefaultUnaryBlockOperator(S, T, BlockProcessor<?, ?>) - Constructor for class net.imglib2.algorithm.blocks.DefaultUnaryBlockOperator
diamond(int, int) - Static method in class net.imglib2.algorithm.morphology.StructuringElements: Generates a centered flat diamond structuring element for morphological operations.
diamond(int, int, boolean) - Static method in class net.imglib2.algorithm.morphology.StructuringElements: Generates a centered flat diamond structuring element for morphological operations.
DiamondNeighborhood<T> - Class in net.imglib2.algorithm.neighborhood
DiamondNeighborhood.LocalCursor - Class in net.imglib2.algorithm.neighborhood
DiamondNeighborhoodCursor<T> - Class in net.imglib2.algorithm.neighborhood
DiamondNeighborhoodCursor(RandomAccessibleInterval<T>, long, DiamondNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodCursor
DiamondNeighborhoodCursor(DiamondNeighborhoodCursor<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodCursor
DiamondNeighborhoodFactory<T> - Interface in net.imglib2.algorithm.neighborhood
DiamondNeighborhoodLocalizableSampler<T> - Class in net.imglib2.algorithm.neighborhood
DiamondNeighborhoodLocalizableSampler(RandomAccessible<T>, long, DiamondNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler
DiamondNeighborhoodLocalizableSampler(DiamondNeighborhoodLocalizableSampler<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler
DiamondNeighborhoodRandomAccess<T> - Class in net.imglib2.algorithm.neighborhood
DiamondNeighborhoodRandomAccess(RandomAccessible<T>, long, DiamondNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
DiamondNeighborhoodRandomAccess(RandomAccessible<T>, long, DiamondNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
DiamondNeighborhoodUnsafe<T> - Class in net.imglib2.algorithm.neighborhood
DiamondShape - Class in net.imglib2.algorithm.neighborhood: TODO
DiamondShape(long) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondShape: Constructor
DiamondShape.NeighborhoodsAccessible<T> - Class in net.imglib2.algorithm.neighborhood
DiamondShape.NeighborhoodsIterableInterval<T> - Class in net.imglib2.algorithm.neighborhood
DiamondTipsNeighborhood<T> - Class in net.imglib2.algorithm.neighborhood: A Neighborhood that iterates through the tips of a multi-dimensional diamond.
DiamondTipsNeighborhood(long[], long, RandomAccess<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood: Creates a new diamond tip neighborhood.
DiamondTipsNeighborhood.LocalCursor - Class in net.imglib2.algorithm.neighborhood
DiamondTipsNeighborhoodCursor<T> - Class in net.imglib2.algorithm.neighborhood
DiamondTipsNeighborhoodCursor(RandomAccessibleInterval<T>, long, DiamondTipsNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodCursor
DiamondTipsNeighborhoodCursor(DiamondTipsNeighborhoodCursor<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodCursor
DiamondTipsNeighborhoodFactory<T> - Interface in net.imglib2.algorithm.neighborhood
DiamondTipsNeighborhoodLocalizableSampler<T> - Class in net.imglib2.algorithm.neighborhood
DiamondTipsNeighborhoodLocalizableSampler(RandomAccessible<T>, long, DiamondTipsNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler
DiamondTipsNeighborhoodLocalizableSampler(DiamondTipsNeighborhoodLocalizableSampler<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler
DiamondTipsNeighborhoodRandomAccess<T> - Class in net.imglib2.algorithm.neighborhood
DiamondTipsNeighborhoodRandomAccess(RandomAccessible<T>, long, DiamondTipsNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
DiamondTipsNeighborhoodRandomAccess(RandomAccessible<T>, long, DiamondTipsNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
DiamondTipsNeighborhoodUnsafe<T> - Class in net.imglib2.algorithm.neighborhood
DiamondTipsShape - Class in net.imglib2.algorithm.neighborhood: TODO
DiamondTipsShape(long) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondTipsShape: Constructor
DiamondTipsShape.NeighborhoodsAccessible<T> - Class in net.imglib2.algorithm.neighborhood
DiamondTipsShape.NeighborhoodsIterableInterval<T> - Class in net.imglib2.algorithm.neighborhood
DifferenceOfGaussian - Class in net.imglib2.algorithm.dog: Compute Difference-of-Gaussian of a RandomAccessible.
DifferenceOfGaussian() - Constructor for class net.imglib2.algorithm.dog.DifferenceOfGaussian
dilate(Img<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on a RealType Img using a list of Shapes as a flat structuring element.
dilate(Img<T>, List<? extends Shape>, T, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on an Img using a list of Shapes as a flat structuring element.
dilate(Img<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on a RealType Img using a Shape as a flat structuring element.
dilate(Img<T>, Shape, T, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on an Img using a Shape as a flat structuring element.
dilate(RandomAccessible<T>, IterableInterval<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on a RealType RandomAccessible as a source and writing results in an IterableInterval.
dilate(RandomAccessible<T>, IterableInterval<T>, List<? extends Shape>, T, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, using a RandomAccessible as a source and writing results in an IterableInterval.
dilate(RandomAccessible<T>, IterableInterval<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on a RealType RandomAccessible as a source and writing results in an IterableInterval.
dilate(RandomAccessible<T>, IterableInterval<T>, Shape, T, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, using a RandomAccessible as a source and writing results in an IterableInterval.
dilateFull(Img<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on a RealType Img using a list of Shapes as a flat structuring element.
dilateFull(Img<T>, List<? extends Shape>, T, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on an Img using a list of Shapes as a flat structuring element.
dilateFull(Img<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on a RealType Img using a list of Shapes as a flat structuring element.
dilateFull(Img<T>, Shape, T, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on an Img using a list of Shapes as a flat structuring element.
dilateInPlace(RandomAccessibleInterval<T>, Interval, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on a RealType RandomAccessibleInterval using a Shape as a flat structuring element.
dilateInPlace(RandomAccessibleInterval<T>, Interval, List<? extends Shape>, T, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on a RealType RandomAccessibleInterval using a Shape as a flat structuring element.
dilateInPlace(RandomAccessibleInterval<T>, Interval, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on a RealType RandomAccessibleInterval using a Shape as a flat structuring element.
dilateInPlace(RandomAccessibleInterval<T>, Interval, Shape, T, int) - Static method in class net.imglib2.algorithm.morphology.Dilation: Performs the dilation morphological operation, on a RealType RandomAccessibleInterval using a Shape as a flat structuring element.
Dilation - Class in net.imglib2.algorithm.morphology
dim - Variable in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler
dimension(int) - Method in class net.imglib2.algorithm.blocks.util.BlockProcessorSourceInterval
dimension(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
dimension(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
dimension(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
dimension(int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
dimension(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
dimension(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
dimension(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
dimension(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
dimension(int) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
dimension(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
dimension(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
dimensions(IFunction) - Static method in class net.imglib2.algorithm.math.abstractions.Util
dimensions(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
dimensions(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
dimensions(long[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
dimensions(long[]) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
dimensions(long[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
dimensions(long[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
dimensions(long[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
dimensions(long[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
dimensions(long[]) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
dimensions(long[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
dimensions(long[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
disk(long, int) - Static method in class net.imglib2.algorithm.morphology.StructuringElements: Generates a centered disk flat structuring element for morphological operations.
disk(long, int, int) - Static method in class net.imglib2.algorithm.morphology.StructuringElements: Generates a centered disk flat structuring element for morphological operations.
Distance - Interface in net.imglib2.algorithm.morphology.distance: Family of strictly convex, real valued functions that are separable in all dimension.
DistanceTransform - Class in net.imglib2.algorithm.morphology.distance: ImgLib2 implementation of n-dimensional distance transform D of sampled functions f with distance measure d: Distance Transforms of Sampled Functions (DOI:ch 10.4086/toc.2012.v008a019).
DistanceTransform() - Constructor for class net.imglib2.algorithm.morphology.distance.DistanceTransform
DistanceTransform.DISTANCE_TYPE - Enum in net.imglib2.algorithm.morphology.distance: Switch for calling convenience method with pre-defined distances.
Div - Class in net.imglib2.algorithm.math
Div(Object, Object) - Constructor for class net.imglib2.algorithm.math.Div
Div(Object...) - Constructor for class net.imglib2.algorithm.math.Div
div(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
div(Object...) - Static method in class net.imglib2.algorithm.math.ImgMath
divideIntoChunks(long, int) - Static method in class net.imglib2.multithreading.SimpleMultiThreading: Deprecated.
Division<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
Division(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.Division
DoG(double[], double[], RandomAccessible, RandomAccessibleInterval<T>, ExecutorService) - Static method in class net.imglib2.algorithm.dog.DifferenceOfGaussian: Compute the difference of Gaussian for the input.
DoG(double[], double[], RandomAccessible, RandomAccessible<T>, RandomAccessibleInterval<T>, ExecutorService) - Static method in class net.imglib2.algorithm.dog.DifferenceOfGaussian: Compute the difference of Gaussian for the input.
DogDetection<T extends RealType<T> & NativeType<T>> - Class in net.imglib2.algorithm.dog
DogDetection(RandomAccessibleInterval<T>, double[], double, double, DogDetection.ExtremaType, double, boolean) - Constructor for class net.imglib2.algorithm.dog.DogDetection
DogDetection(RandomAccessible<T>, Interval, double[], double, double, DogDetection.ExtremaType, double, boolean) - Constructor for class net.imglib2.algorithm.dog.DogDetection: Sets up a DogDetection with the specified parameters (does not do any computation yet).
DogDetection(RandomAccessible<T>, Interval, double[], double, double, DogDetection.ExtremaType, double, boolean, F) - Constructor for class net.imglib2.algorithm.dog.DogDetection: Sets up a DogDetection with the specified parameters (does not do any computation yet).
DogDetection.ExtremaType - Enum in net.imglib2.algorithm.dog
DogDetection.TypedDogDetection<F extends RealType<F> & NativeType<F>> - Class in net.imglib2.algorithm.dog
dogImg - Variable in class net.imglib2.algorithm.dog.DogDetection.TypedDogDetection
DoubleConvolverRealType - Class in net.imglib2.algorithm.convolution.kernel: A 1-dimensional line convolver that operates on all RealType.
DoubleConvolverRealType(Kernel1D, RandomAccess<? extends RealType<?>>, RandomAccess<? extends RealType<?>>, int, long) - Constructor for class net.imglib2.algorithm.convolution.kernel.DoubleConvolverRealType
DoubleConvolverRealType<S extends RealType<S>,T extends RealType<T>> - Class in net.imglib2.algorithm.gauss3: Deprecated.
DoubleConvolverRealTypeBuffered<S extends RealType<S>,T extends RealType<T>> - Class in net.imglib2.algorithm.gauss3: Deprecated.
doubleValue(long, long) - Method in class net.imglib2.algorithm.linalg.matrix.RealCompositeMatrix
Downsample - Class in net.imglib2.algorithm.blocks.downsample: Downsampling by factor 2.
Downsample() - Constructor for class net.imglib2.algorithm.blocks.downsample.Downsample
downsample(T, Downsample.ComputationType, Downsample.Offset, boolean[]) - Static method in class net.imglib2.algorithm.blocks.downsample.Downsample: Create a UnaryBlockOperator to downsample (by factor 2) blocks of the standard ImgLib2 RealType.
downsample(T, Downsample.ComputationType, Downsample.Offset, int) - Static method in class net.imglib2.algorithm.blocks.downsample.Downsample: Create a UnaryBlockOperator to downsample (by factor 2, in all dimensions) blocks of the standard ImgLib2 RealType.
downsample(T, Downsample.Offset, int) - Static method in class net.imglib2.algorithm.blocks.downsample.Downsample: Create a UnaryBlockOperator to downsample (by factor 2, in all dimensions) blocks of the standard ImgLib2 RealType.
downsample(T, int) - Static method in class net.imglib2.algorithm.blocks.downsample.Downsample: Create a UnaryBlockOperator to downsample (by factor 2, in all dimensions) blocks of the standard ImgLib2 RealType.
Downsample.ComputationType - Enum in net.imglib2.algorithm.blocks.downsample: Specify in which precision should intermediate values be computed.
Downsample.Offset - Enum in net.imglib2.algorithm.blocks.downsample: Specify where downsampled pixels should be placed.

E

Edgel - Class in net.imglib2.algorithm.edge: An oriented point representing a sub-pixel localized segment of a (hyper-)edge.
Edgel(double[], double[], double) - Constructor for class net.imglib2.algorithm.edge.Edgel: Create an edgel.
EigenValues<T extends RealType<T>,U extends ComplexType> - Interface in net.imglib2.algorithm.linalg.eigen: Interface for handling different cases, e.g.
EigenValues1D<T extends RealType<T>,U extends ComplexType> - Class in net.imglib2.algorithm.linalg.eigen
EigenValues1D() - Constructor for class net.imglib2.algorithm.linalg.eigen.EigenValues1D
EigenValues2DSquare<T extends RealType<T>,U extends ComplexType> - Class in net.imglib2.algorithm.linalg.eigen
EigenValues2DSquare() - Constructor for class net.imglib2.algorithm.linalg.eigen.EigenValues2DSquare
EigenValues2DSymmetric<T extends RealType<T>,U extends ComplexType> - Class in net.imglib2.algorithm.linalg.eigen
EigenValues2DSymmetric() - Constructor for class net.imglib2.algorithm.linalg.eigen.EigenValues2DSymmetric
EigenValuesSquare<T extends RealType<T>,U extends ComplexType> - Class in net.imglib2.algorithm.linalg.eigen
EigenValuesSquare(int) - Constructor for class net.imglib2.algorithm.linalg.eigen.EigenValuesSquare
EigenValuesSymmetric<T extends RealType<T>,U extends ComplexType> - Class in net.imglib2.algorithm.linalg.eigen
EigenValuesSymmetric(int) - Constructor for class net.imglib2.algorithm.linalg.eigen.EigenValuesSymmetric
EllipseCursor<T> - Class in net.imglib2.algorithm.region: Iterates over a Bresenham 2D ellipse using the mid-point algorithm.
EllipseCursor(RandomAccessible<T>, Localizable, long, long) - Constructor for class net.imglib2.algorithm.region.EllipseCursor: Iterates over a Bresenham ellipse in the target RandomAccessible.
EllipseCursor(RandomAccessible<T>, Localizable, long, long, int, int) - Constructor for class net.imglib2.algorithm.region.EllipseCursor: Iterates over a Bresenham ellipse in the target RandomAccessible.
Ellipses - Class in net.imglib2.algorithm.region: Write ellipses in an image using the midpoint algorithm.
Else - Class in net.imglib2.algorithm.math: A class that exists merely for coding readability.
Else(Object) - Constructor for class net.imglib2.algorithm.math.Else
ELSE(Object) - Static method in class net.imglib2.algorithm.math.ImgMath
emit(MserPartialComponent<T>) - Method in class net.imglib2.algorithm.componenttree.mser.MserTree
emit(C) - Method in interface net.imglib2.algorithm.componenttree.PartialComponent.Handler: BuildComponentTree calls this for every completed component.
emit(PixelListPartialComponent<T>) - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelListComponentTree
Endpoints - Class in net.imglib2.algorithm.morphology.table2d: Removes all pixels except the ones that are at the end of a skeleton.
Endpoints() - Constructor for class net.imglib2.algorithm.morphology.table2d.Endpoints
endpoints(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Endpoints
endpoints(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Endpoints
EQ(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
Equal - Class in net.imglib2.algorithm.math
Equal(Object, Object) - Constructor for class net.imglib2.algorithm.math.Equal
equal(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
Equality<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
Equality(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.Equality
equalityGraph() - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
erode(Img<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on a RealType Img using a list of Shapes as a flat structuring element.
erode(Img<T>, List<? extends Shape>, T, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on an Img using a list of Shapes as a flat structuring element.
erode(Img<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on a RealType Img using a Shape as a flat structuring element.
erode(Img<T>, Shape, T, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on an Img using a Shape as a flat structuring element.
erode(RandomAccessible<T>, IterableInterval<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on a RealType RandomAccessible as a source and writing results in an IterableInterval.
erode(RandomAccessible<T>, IterableInterval<T>, List<? extends Shape>, T, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, using a RandomAccessible as a source and writing results in an IterableInterval.
erode(RandomAccessible<T>, IterableInterval<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on a RealType RandomAccessible as a source and writing results in an IterableInterval.
erode(RandomAccessible<T>, IterableInterval<T>, Shape, T, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, using a RandomAccessible as a source and writing results in an IterableInterval.
erodeFull(Img<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on a RealType Img using a list of Shapes as a flat structuring element.
erodeFull(Img<T>, List<? extends Shape>, T, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on an Img using a list of Shapes as a flat structuring element.
erodeFull(Img<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on a RealType Img using a list of Shapes as a flat structuring element.
erodeFull(Img<T>, Shape, T, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on an Img using a list of Shapes as a flat structuring element.
erodeInPlace(RandomAccessible<T>, Interval, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on a RealType RandomAccessibleInterval using a Shape as a flat structuring element.
erodeInPlace(RandomAccessibleInterval<T>, Interval, List<? extends Shape>, T, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on a RealType RandomAccessibleInterval using a Shape as a flat structuring element.
erodeInPlace(RandomAccessible<T>, Interval, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on a RealType RandomAccessibleInterval using a Shape as a flat structuring element.
erodeInPlace(RandomAccessibleInterval<T>, Interval, Shape, T, int) - Static method in class net.imglib2.algorithm.morphology.Erosion: Performs the erosion morphological operation, on a RealType RandomAccessibleInterval using a Shape as a flat structuring element.
Erosion - Class in net.imglib2.algorithm.morphology
error - Variable in class net.imglib2.algorithm.integral.ScaleAreaAveraging2d
errorMessage - Variable in class net.imglib2.algorithm.BenchmarkAlgorithm
errorMessage - Variable in class net.imglib2.algorithm.MultiThreadedAlgorithm
EuclidianDistanceAnisotropic - Class in net.imglib2.algorithm.morphology.distance: Implementation of weighted anisotropic Euclidian distance: D( p ) = min_q f(q) + sum_i w_i*(p_i - q_i)*(p_i - q_i).
EuclidianDistanceAnisotropic(double...) - Constructor for class net.imglib2.algorithm.morphology.distance.EuclidianDistanceAnisotropic: When accounting for anisotropic image data, the ratios of the weights should be equal to the squared ratios of the voxel sizes, e.g.
EuclidianDistanceAnisotropic(int, double) - Constructor for class net.imglib2.algorithm.morphology.distance.EuclidianDistanceAnisotropic: Use the same weight for each dimension
EuclidianDistanceIsotropic - Class in net.imglib2.algorithm.morphology.distance: Implementation of weighted isotropic Euclidian distance: D( p ) = min_q f(q) + w * sum_i (p_i - q_i)*(p_i - q_i).
EuclidianDistanceIsotropic(double) - Constructor for class net.imglib2.algorithm.morphology.distance.EuclidianDistanceIsotropic
eval() - Method in interface net.imglib2.algorithm.math.abstractions.OFunction
eval(Localizable) - Method in interface net.imglib2.algorithm.math.abstractions.OFunction
eval() - Method in class net.imglib2.algorithm.math.execution.Addition
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.Addition
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.BlockReadingDirect
eval() - Method in class net.imglib2.algorithm.math.execution.BlockReadingSource
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.BlockReadingSource
eval() - Method in class net.imglib2.algorithm.math.execution.Comparison
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.Comparison
eval() - Method in class net.imglib2.algorithm.math.execution.Division
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.Division
eval() - Method in class net.imglib2.algorithm.math.execution.Exponential
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.Exponential
eval() - Method in class net.imglib2.algorithm.math.execution.IfStatement
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.IfStatement
eval() - Method in class net.imglib2.algorithm.math.execution.IfStatementBoolean
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.IfStatementBoolean
eval() - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterable
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterable
eval() - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterableDirect
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterableDirect
eval() - Method in class net.imglib2.algorithm.math.execution.KDTreeRadiusSource
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.KDTreeRadiusSource
eval() - Method in class net.imglib2.algorithm.math.execution.LetBinding
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.LetBinding
eval() - Method in class net.imglib2.algorithm.math.execution.Logarithm
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.Logarithm
eval() - Method in class net.imglib2.algorithm.math.execution.LogicalNot
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.LogicalNot
eval() - Method in class net.imglib2.algorithm.math.execution.Maximum
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.Maximum
eval() - Method in class net.imglib2.algorithm.math.execution.Minimum
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.Minimum
eval() - Method in class net.imglib2.algorithm.math.execution.Multiplication
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.Multiplication
eval() - Method in class net.imglib2.algorithm.math.execution.NumericSource
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.NumericSource
eval() - Method in class net.imglib2.algorithm.math.execution.Power
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.Power
eval() - Method in class net.imglib2.algorithm.math.execution.Printing
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.Printing
eval() - Method in class net.imglib2.algorithm.math.execution.RandomAccessibleOffsetSource
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.RandomAccessibleOffsetSource
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.RandomAccessibleOffsetSourceDirect
eval() - Method in class net.imglib2.algorithm.math.execution.Subtraction
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.Subtraction
eval() - Method in class net.imglib2.algorithm.math.execution.Variable
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.Variable
eval() - Method in class net.imglib2.algorithm.math.execution.ZeroMinus
eval(Localizable) - Method in class net.imglib2.algorithm.math.execution.ZeroMinus
evalBoolean() - Method in interface net.imglib2.algorithm.math.abstractions.IBooleanFunction
evalBoolean(Localizable) - Method in interface net.imglib2.algorithm.math.abstractions.IBooleanFunction
evalBoolean() - Method in class net.imglib2.algorithm.math.execution.Comparison
evalBoolean(Localizable) - Method in class net.imglib2.algorithm.math.execution.Comparison
evalBoolean() - Method in class net.imglib2.algorithm.math.execution.LogicalAndBoolean
evalBoolean(Localizable) - Method in class net.imglib2.algorithm.math.execution.LogicalAndBoolean
evalBoolean() - Method in class net.imglib2.algorithm.math.execution.LogicalNot
evalBoolean(Localizable) - Method in class net.imglib2.algorithm.math.execution.LogicalNot
evalBoolean() - Method in class net.imglib2.algorithm.math.execution.LogicalNotBoolean
evalBoolean(Localizable) - Method in class net.imglib2.algorithm.math.execution.LogicalNotBoolean
evalBoolean() - Method in class net.imglib2.algorithm.math.execution.LogicalOrBoolean
evalBoolean(Localizable) - Method in class net.imglib2.algorithm.math.execution.LogicalOrBoolean
evalBoolean() - Method in class net.imglib2.algorithm.math.execution.LogicalXorBoolean
evalBoolean(Localizable) - Method in class net.imglib2.algorithm.math.execution.LogicalXorBoolean
evalDouble() - Method in interface net.imglib2.algorithm.math.abstractions.OFunction
evalDouble(Localizable) - Method in interface net.imglib2.algorithm.math.abstractions.OFunction
evalDouble() - Method in class net.imglib2.algorithm.math.execution.Addition
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.Addition
evalDouble() - Method in class net.imglib2.algorithm.math.execution.BlockReadingSource
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.BlockReadingSource
evalDouble() - Method in class net.imglib2.algorithm.math.execution.Comparison
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.Comparison
evalDouble() - Method in class net.imglib2.algorithm.math.execution.Division
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.Division
evalDouble() - Method in class net.imglib2.algorithm.math.execution.Exponential
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.Exponential
evalDouble() - Method in class net.imglib2.algorithm.math.execution.IfStatement
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.IfStatement
evalDouble() - Method in class net.imglib2.algorithm.math.execution.IfStatementBoolean
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.IfStatementBoolean
evalDouble() - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterable
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterable
evalDouble() - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterableDirect
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterableDirect
evalDouble() - Method in class net.imglib2.algorithm.math.execution.KDTreeRadiusSource
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.KDTreeRadiusSource
evalDouble() - Method in class net.imglib2.algorithm.math.execution.LetBinding
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.LetBinding
evalDouble() - Method in class net.imglib2.algorithm.math.execution.Logarithm
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.Logarithm
evalDouble() - Method in class net.imglib2.algorithm.math.execution.LogicalNot
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.LogicalNot
evalDouble() - Method in class net.imglib2.algorithm.math.execution.Maximum
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.Maximum
evalDouble() - Method in class net.imglib2.algorithm.math.execution.Minimum
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.Minimum
evalDouble() - Method in class net.imglib2.algorithm.math.execution.Multiplication
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.Multiplication
evalDouble() - Method in class net.imglib2.algorithm.math.execution.NumericSource
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.NumericSource
evalDouble() - Method in class net.imglib2.algorithm.math.execution.Power
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.Power
evalDouble() - Method in class net.imglib2.algorithm.math.execution.Printing
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.Printing
evalDouble() - Method in class net.imglib2.algorithm.math.execution.RandomAccessibleOffsetSource
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.RandomAccessibleOffsetSource
evalDouble() - Method in class net.imglib2.algorithm.math.execution.Subtraction
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.Subtraction
evalDouble() - Method in class net.imglib2.algorithm.math.execution.Variable
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.Variable
evalDouble() - Method in class net.imglib2.algorithm.math.execution.ZeroMinus
evalDouble(Localizable) - Method in class net.imglib2.algorithm.math.execution.ZeroMinus
evaluate(double) - Method in class net.imglib2.algorithm.bspline.AbstractBsplineKernel
evaluate(double) - Method in class net.imglib2.algorithm.bspline.BsplineKernel0
evaluate(double) - Method in class net.imglib2.algorithm.bspline.BsplineKernel1
evaluate(double) - Method in class net.imglib2.algorithm.bspline.BsplineKernel2
evaluate(double) - Method in class net.imglib2.algorithm.bspline.BsplineKernel3
evaluate(double) - Method in class net.imglib2.algorithm.bspline.BsplineKernel4
evaluate(double) - Method in class net.imglib2.algorithm.bspline.BsplineKernel5
evaluate(double, double, double, int) - Method in interface net.imglib2.algorithm.morphology.distance.Distance: Evaluate function with family parameters xShift and yShift at position x in dimension dim.
evaluate(double, double, double, int) - Method in class net.imglib2.algorithm.morphology.distance.EuclidianDistanceAnisotropic
evaluate(double, double, double, int) - Method in class net.imglib2.algorithm.morphology.distance.EuclidianDistanceIsotropic
evaluate3Normalized(double) - Static method in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
evaluateNorm(double) - Method in class net.imglib2.algorithm.bspline.AbstractBsplineKernel
evaluateNorm(double) - Method in class net.imglib2.algorithm.bspline.BsplineKernel0
evaluateNorm(double) - Method in class net.imglib2.algorithm.bspline.BsplineKernel1
exact(double) - Static method in class net.imglib2.algorithm.convolution.fast_gauss.FastGaussCalculator.Parameters
Exp - Class in net.imglib2.algorithm.math
Exp(Object) - Constructor for class net.imglib2.algorithm.math.Exp
exp(Object) - Static method in class net.imglib2.algorithm.math.ImgMath
Exponential<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution: Doesn't use NumericType math because it lacks the log function.
Exponential(O, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.Exponential
extendAlternatingTree(int, int) - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
extremaType - Variable in class net.imglib2.algorithm.dog.DogDetection

F

f - Variable in class net.imglib2.algorithm.math.execution.FunctionCursor
f1(double, double) - Method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary
FACTOR - Static variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
factory(T) - Static method in class net.imglib2.algorithm.gauss3.ConvolverNativeType: Deprecated.
factory(T) - Static method in class net.imglib2.algorithm.gauss3.ConvolverNativeTypeBuffered: Deprecated.
factory(T) - Static method in class net.imglib2.algorithm.gauss3.ConvolverNumericType: Deprecated.
factory() - Static method in class net.imglib2.algorithm.gauss3.DoubleConvolverRealType: Deprecated.
factory() - Static method in class net.imglib2.algorithm.gauss3.DoubleConvolverRealTypeBuffered: Deprecated.
factory() - Static method in class net.imglib2.algorithm.gauss3.FloatConvolverRealType: Deprecated.
factory() - Static method in class net.imglib2.algorithm.gauss3.FloatConvolverRealTypeBuffered: Deprecated.
factory() - Static method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
factory - Variable in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler
factory() - Static method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodUnsafe
factory() - Static method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
factory - Variable in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler
factory() - Static method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodUnsafe
factory() - Static method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
factory() - Static method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodUnsafe
factory() - Static method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
factory() - Static method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodUnsafe
factory() - Static method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
factory() - Static method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodUnsafe
factory() - Static method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
factory() - Static method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodUnsafe
factory() - Static method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
factory() - Static method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
factory() - Static method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenterUnsafe
factory() - Static method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodUnsafe
fast(double) - Static method in class net.imglib2.algorithm.convolution.fast_gauss.FastGaussCalculator.Parameters
FastGauss - Class in net.imglib2.algorithm.convolution.fast_gauss: Faster alternative to Gauss3.
FastGauss() - Constructor for class net.imglib2.algorithm.convolution.fast_gauss.FastGauss
FastGaussCalculator - Class in net.imglib2.algorithm.convolution.fast_gauss: This class implements the fast Gauss transform to calculate a gaussian blur.
FastGaussCalculator(FastGaussCalculator.Parameters) - Constructor for class net.imglib2.algorithm.convolution.fast_gauss.FastGaussCalculator
FastGaussCalculator.Parameters - Class in net.imglib2.algorithm.convolution.fast_gauss: Collects all coefficients required to carry on the filtering, see eq.
FastGaussConvolverRealType - Class in net.imglib2.algorithm.convolution.fast_gauss: Implementation of LineConvolverFactory that uses FastGaussCalculator to calculate a fast Gauss transform.
FastGaussConvolverRealType(double) - Constructor for class net.imglib2.algorithm.convolution.fast_gauss.FastGaussConvolverRealType
FastGaussConvolverRealType.MyConvolver - Class in net.imglib2.algorithm.convolution.fast_gauss
fill(RandomAccessible<T>, RandomAccessible, Localizable, U, Shape) - Static method in class net.imglib2.algorithm.fill.FloodFill: Iterative n-dimensional flood fill for arbitrary neighborhoods: Starting at seed location, write fillLabel into target at current location and continue for each pixel in neighborhood defined by shape if neighborhood pixel is in the same connected component and fillLabel has not been written into that location yet.
fill(RandomAccessible<T>, RandomAccessible, Localizable, U, Shape, BiPredicate<T, U>) - Static method in class net.imglib2.algorithm.fill.FloodFill: Iterative n-dimensional flood fill for arbitrary neighborhoods: Starting at seed location, write fillLabel into target at current location and continue for each pixel in neighborhood defined by shape if neighborhood pixel is in the same connected component and fillLabel has not been written into that location yet.
fill(RandomAccessible<T>, RandomAccessible, Localizable, Shape, BiPredicate<T, U>, Consumer) - Static method in class net.imglib2.algorithm.fill.FloodFill: Iterative n-dimensional flood fill for arbitrary neighborhoods: Starting at seed location, write fillLabel into target at current location and continue for each pixel in neighborhood defined by shape if neighborhood pixel is in the same connected component and fillLabel has not been written into that location yet.
fill(RandomAccessible<T>, RandomAccessible, Localizable, U, Shape, Filter<Pair<T, U>, Pair<T, U>>) - Static method in class net.imglib2.algorithm.fill.FloodFill: Deprecated.
fill(RandomAccessible<T>, RandomAccessible, Localizable, T, U, Shape, Filter<Pair<T, U>, Pair<T, U>>) - Static method in class net.imglib2.algorithm.fill.FloodFill: Deprecated.
fill(RandomAccessible<T>, RandomAccessible, Localizable, T, U, Shape, Filter<Pair<T, U>, Pair<T, U>>, Writer) - Static method in class net.imglib2.algorithm.fill.FloodFill: Deprecated.
Fill - Class in net.imglib2.algorithm.morphology.table2d: Sets a pixel to 1 if all of its neighbors are 1.
Fill() - Constructor for class net.imglib2.algorithm.morphology.table2d.Fill
fill(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Fill
fill(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Fill
fillWeights(RealLocalizable) - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorFunction
fillWeights() - Method in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
Filter<T,U> - Interface in net.imglib2.algorithm.fill: Deprecated.
find(RealLocalizable) - Method in class net.imglib2.algorithm.kdtree.VolumetricSearch: Find all intervals that contain a given point
findAllIterableImgSource(OFunction<O>) - Static method in class net.imglib2.algorithm.math.abstractions.Util
findFirstImg(IFunction) - Static method in class net.imglib2.algorithm.math.abstractions.Util
findFirstInterval(IFunction) - Static method in class net.imglib2.algorithm.math.abstractions.Util
findFirstIterableImgSource(OFunction<O>) - Static method in class net.imglib2.algorithm.math.abstractions.Util
findImg(IFunction) - Static method in class net.imglib2.algorithm.math.abstractions.Util
findLocalExtrema(RandomAccessibleInterval<T>, LocalExtrema.LocalNeighborhoodCheck<P, T>, ExecutorService) - Static method in class net.imglib2.algorithm.localextrema.LocalExtrema: Deprecated.
findLocalExtrema(RandomAccessibleInterval<T>, LocalExtrema.LocalNeighborhoodCheck<P, T>, Shape, ExecutorService, int) - Static method in class net.imglib2.algorithm.localextrema.LocalExtrema: Find pixels that are extrema in their local neighborhood.
findLocalExtrema(RandomAccessibleInterval<T>, LocalExtrema.LocalNeighborhoodCheck<P, T>, Shape, ExecutorService, int, int) - Static method in class net.imglib2.algorithm.localextrema.LocalExtrema: Find pixels that are extrema in their local neighborhood.
findLocalExtrema(RandomAccessible<T>, Interval, LocalExtrema.LocalNeighborhoodCheck<P, T>, Shape, ExecutorService, int) - Static method in class net.imglib2.algorithm.localextrema.LocalExtrema: Find pixels that are extrema in their local neighborhood.
findLocalExtrema(RandomAccessible<T>, Interval, LocalExtrema.LocalNeighborhoodCheck<P, T>, Shape, ExecutorService, int, int) - Static method in class net.imglib2.algorithm.localextrema.LocalExtrema: Find pixels that are extrema in their local neighborhood.
findLocalExtrema(RandomAccessibleInterval<T>, LocalExtrema.LocalNeighborhoodCheck<P, T>) - Static method in class net.imglib2.algorithm.localextrema.LocalExtrema: Find pixels that are extrema in their local neighborhood.
findLocalExtrema(RandomAccessibleInterval<T>, LocalExtrema.LocalNeighborhoodCheck<P, T>, Shape) - Static method in class net.imglib2.algorithm.localextrema.LocalExtrema: Find pixels that are extrema in their local neighborhood.
findLocalExtrema(RandomAccessible<T>, Interval, LocalExtrema.LocalNeighborhoodCheck<P, T>) - Static method in class net.imglib2.algorithm.localextrema.LocalExtrema: Find pixels that are extrema in their local neighborhood.
findLocalExtrema(RandomAccessible<T>, Interval, LocalExtrema.LocalNeighborhoodCheck<P, T>, Shape) - Static method in class net.imglib2.algorithm.localextrema.LocalExtrema: Find pixels that are extrema in their local neighborhood.
findMax(IterableInterval<T>) - Static method in class net.imglib2.algorithm.stats.Max: Find the maximum value and its position in an IterableInterval.
findMin(IterableInterval<T>) - Static method in class net.imglib2.algorithm.stats.Min: Find the minimum value and its position in an IterableInterval.
findRoot(int) - Method in class net.imglib2.algorithm.util.unionfind.IntArrayRankedUnionFind: Find the root node (set identifier) for a specified id.
findRoot(long) - Method in class net.imglib2.algorithm.util.unionfind.IntArrayRankedUnionFind
findRoot(int) - Method in class net.imglib2.algorithm.util.unionfind.IntArrayUnionFind: Find the root node (set identifier) for a specified id.
findRoot(long) - Method in class net.imglib2.algorithm.util.unionfind.IntArrayUnionFind
findRoot(long) - Method in class net.imglib2.algorithm.util.unionfind.LongHashMapUnionFind
findRoot(long) - Method in interface net.imglib2.algorithm.util.unionfind.UnionFind
findUnmatchedX() - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
findY() - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
firstElement() - Method in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction
firstElement() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
firstElement() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodUnsafe
firstElement() - Method in class net.imglib2.algorithm.neighborhood.DiamondShape.NeighborhoodsIterableInterval
firstElement() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
firstElement() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodUnsafe
firstElement() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape.NeighborhoodsIterableInterval
firstElement() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
firstElement() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodUnsafe
firstElement() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape.NeighborhoodsIterableInterval
firstElement() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
firstElement() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodUnsafe
firstElement() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape.NeighborhoodsIterableInterval
firstElement() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
firstElement() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodUnsafe
firstElement() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape.NeighborhoodsIterableInterval
firstElement() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
firstElement() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodUnsafe
firstElement() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape.NeighborhoodsIterableInterval
firstElement() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
firstElement() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
firstElement() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenterUnsafe
firstElement() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodUnsafe
firstElement() - Method in class net.imglib2.algorithm.neighborhood.RectangleShape.NeighborhoodsIterableInterval
firstElement() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
firstElement() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
firstElement() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
FloatConvolverRealType - Class in net.imglib2.algorithm.convolution.kernel: A 1-dimensional line convolver that operates on all RealType.
FloatConvolverRealType(Kernel1D, RandomAccess<? extends RealType<?>>, RandomAccess<? extends RealType<?>>, int, long) - Constructor for class net.imglib2.algorithm.convolution.kernel.FloatConvolverRealType
FloatConvolverRealType<S extends RealType<S>,T extends RealType<T>> - Class in net.imglib2.algorithm.gauss3: Deprecated.
FloatConvolverRealTypeBuffered<S extends RealType<S>,T extends RealType<T>> - Class in net.imglib2.algorithm.gauss3: Deprecated.
FloodFill - Class in net.imglib2.algorithm.fill: Iterative n-dimensional flood fill for arbitrary neighborhoods.
FloodFill() - Constructor for class net.imglib2.algorithm.fill.FloodFill
FloydSteinbergDithering<T extends RealType<T>> - Class in net.imglib2.algorithm.floydsteinberg: TODO
FloydSteinbergDithering(RandomAccessibleInterval<T>, float) - Constructor for class net.imglib2.algorithm.floydsteinberg.FloydSteinbergDithering
FloydSteinbergDithering(RandomAccessibleInterval<T>) - Constructor for class net.imglib2.algorithm.floydsteinberg.FloydSteinbergDithering: Will estimate the dithering threshold by (max - min) / 2
forEach(Forest<T>, TreeUtils.Consumer<T>) - Static method in class net.imglib2.algorithm.tree.TreeUtils: Call TreeUtils.Consumer.accept(Object) on op for every node in the forest.
forEachOffset(long[], long[], int[], P, Runnable) - Static method in class net.imglib2.algorithm.util.Grids: Execute runAtOffset for each offset of a grid defined by min, max, and blockSize.
forEachOffset(long[], long[], int[], Consumer<long[]>) - Static method in class net.imglib2.algorithm.util.Grids: Execute runAtOffset for each offset of a grid defined by min, max, and blockSize.
forEachOffset(long[], long[], int[], Grids.SetForDimension, Grids.GetForDimension, Grids.MoveForDimension, Runnable) - Static method in class net.imglib2.algorithm.util.Grids: Execute a Runnable for each offset of a grid defined by min, max, and blockSize.
Forest<T extends TreeNode<T>> - Interface in net.imglib2.algorithm.tree: A forest (in contrast to a Tree has several roots.
FOURTHIRDS - Static variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
fullKernel() - Method in class net.imglib2.algorithm.convolution.kernel.Kernel1D
Function<S extends Type<S>,T extends Type<T>,U extends Type> - Interface in net.imglib2.algorithm.function: TODO
FunctionCursor<C extends RealType<C>,O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
FunctionCursor(IFunction, Converter<RealType<?>, C>, C, O, Converter<C, O>) - Constructor for class net.imglib2.algorithm.math.execution.FunctionCursor
FunctionCursorDouble<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
FunctionCursorDouble(IFunction, O, Converter<RealType<?>, O>) - Constructor for class net.imglib2.algorithm.math.execution.FunctionCursorDouble
FunctionCursorDoubleIncompatibleOrder<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
FunctionCursorDoubleIncompatibleOrder(IFunction, O, Converter<RealType<?>, O>) - Constructor for class net.imglib2.algorithm.math.execution.FunctionCursorDoubleIncompatibleOrder
FunctionCursorIncompatibleOrder<C extends RealType<C>,O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
FunctionCursorIncompatibleOrder(IFunction, Converter<RealType<?>, C>, C, O, Converter<C, O>) - Constructor for class net.imglib2.algorithm.math.execution.FunctionCursorIncompatibleOrder
FunctionRandomAccess<C extends RealType<C>,O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
FunctionRandomAccess(IFunction, Converter<RealType<?>, C>, C, O, Converter<C, O>) - Constructor for class net.imglib2.algorithm.math.execution.FunctionRandomAccess
FunctionRandomAccessDouble<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
FunctionRandomAccessDouble(IFunction, O, Converter<RealType<?>, O>) - Constructor for class net.imglib2.algorithm.math.execution.FunctionRandomAccessDouble
fwd() - Method in class net.imglib2.algorithm.gauss.AbstractLineIterator: Deprecated.
fwd() - Method in class net.imglib2.algorithm.math.execution.FunctionCursor
fwd() - Method in class net.imglib2.algorithm.math.execution.FunctionCursorDouble
fwd() - Method in class net.imglib2.algorithm.math.execution.FunctionCursorDoubleIncompatibleOrder
fwd() - Method in class net.imglib2.algorithm.math.execution.FunctionCursorIncompatibleOrder
fwd() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
fwd() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodCursor
fwd(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
fwd() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor
fwd() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodCursor
fwd(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
fwd() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor
fwd() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodCursor
fwd(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
fwd() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor
fwd() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodCursor
fwd(int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
fwd() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor
fwd() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodCursor
fwd(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
fwd() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor
fwd() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodCursor
fwd(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
fwd() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor
fwd() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodCursor
fwd(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
fwd() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor
fwd() - Method in class net.imglib2.algorithm.region.CircleCursor
fwd() - Method in class net.imglib2.algorithm.region.EllipseCursor
fwd() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
fwd() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
fwd() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2: Deprecated.

G

gainFromPoles(double[]) - Static method in class net.imglib2.algorithm.bspline.BSplineDecomposition

Gauss - Class in net.imglib2.algorithm.gauss

Deprecated.

Gauss() - Constructor for class net.imglib2.algorithm.gauss.Gauss

Deprecated.

gauss(double[], Img<DoubleType>) - Static method in class net.imglib2.algorithm.gauss.GaussDouble

Deprecated.

gauss(double[], Img<DoubleType>, OutOfBoundsFactory<DoubleType, Img<DoubleType>>) - Static method in class net.imglib2.algorithm.gauss.GaussDouble

Deprecated.

gauss(double[], RandomAccessible<DoubleType>, Interval, ImgFactory<DoubleType>) - Static method in class net.imglib2.algorithm.gauss.GaussDouble

Deprecated.

gauss(double[], RandomAccessible<DoubleType>, Interval, RandomAccessible<DoubleType>, Localizable, ImgFactory<DoubleType>) - Static method in class net.imglib2.algorithm.gauss.GaussDouble

Deprecated.

gauss(double[], Img<FloatType>) - Static method in class net.imglib2.algorithm.gauss.GaussFloat

Deprecated.

gauss(double[], Img<FloatType>, OutOfBoundsFactory<FloatType, Img<FloatType>>) - Static method in class net.imglib2.algorithm.gauss.GaussFloat

Deprecated.

gauss(double[], RandomAccessible<FloatType>, Interval, ImgFactory<FloatType>) - Static method in class net.imglib2.algorithm.gauss.GaussFloat

Deprecated.

gauss(double[], RandomAccessible<FloatType>, Interval, RandomAccessible<FloatType>, Localizable, ImgFactory<FloatType>) - Static method in class net.imglib2.algorithm.gauss.GaussFloat

Deprecated.

gauss(double, RandomAccessible<S>, RandomAccessibleInterval<T>) - Static method in class net.imglib2.algorithm.gauss3.Gauss3

Apply Gaussian convolution to source and write the result to target.

gauss(double[], RandomAccessible<S>, RandomAccessibleInterval<T>) - Static method in class net.imglib2.algorithm.gauss3.Gauss3

Apply Gaussian convolution to source and write the result to target.

gauss(double[], RandomAccessible<S>, RandomAccessibleInterval<T>, int) - Static method in class net.imglib2.algorithm.gauss3.Gauss3

Deprecated.

Deprecated. Please use gauss(sigma, source, target) instead. The number of threads used to calculate the Gaussion convolution may by set with the Parallelization context, as show in this example:

 
 Parallelization.runWithNumThreads( numThreads,
    () -> gauss( sigma, source, target )
 );

Apply Gaussian convolution to source and write the result to output. In-place operation (source==target) is supported.

If the target type T is DoubleType, all calculations are done in double precision. For all other target RealTypes float precision is used. General NumericTypes are computed in their own precision. The source type S and target type T are either both RealTypes or both the same type.

gauss(double[], RandomAccessible<S>, RandomAccessibleInterval<T>, ExecutorService) - Static method in class net.imglib2.algorithm.gauss3.Gauss3

Deprecated.

Deprecated. Please use gauss(sigma, source, target) instead. The ExecutorService used to calculate the Gaussion convolution may by set with the Parallelization context, as show in this example:

 
 Parallelization.runWithExecutor( executorService,
    () -> gauss( sigma, source, target )
 );

Apply Gaussian convolution to source and write the result to output. In-place operation (source==target) is supported.

Gauss3 - Class in net.imglib2.algorithm.gauss3

Gaussian convolution.

Gauss3() - Constructor for class net.imglib2.algorithm.gauss3.Gauss3

GaussDouble - Class in net.imglib2.algorithm.gauss

Deprecated.

GaussDouble(double[], RandomAccessible<DoubleType>, Interval, ImgFactory<DoubleType>) - Constructor for class net.imglib2.algorithm.gauss.GaussDouble

Deprecated.

Computes a Gaussian convolution with double precision on a RandomAccessible of DoubleType in a certain Interval and returns an Img defined by the ImgFactory containing the result

GaussDouble(double[], RandomAccessible<DoubleType>, Interval, RandomAccessible<DoubleType>, Localizable, ImgFactory<DoubleType>) - Constructor for class net.imglib2.algorithm.gauss.GaussDouble

Deprecated.

Computes a Gaussian convolution with double precision on a RandomAccessible of DoubleType in a certain Interval and writes it into a given RandomAccessible at a specific Point

GaussDouble(double[], Img<DoubleType>) - Constructor for class net.imglib2.algorithm.gauss.GaussDouble

Deprecated.

Computes a Gaussian convolution with double precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary

GaussDouble(double[], Img<DoubleType>, OutOfBoundsFactory<DoubleType, Img<DoubleType>>) - Constructor for class net.imglib2.algorithm.gauss.GaussDouble

Deprecated.

Computes a Gaussian convolution with double precision on an entire Img

GaussFloat - Class in net.imglib2.algorithm.gauss

Deprecated.

GaussFloat(double[], RandomAccessible<FloatType>, Interval, ImgFactory<FloatType>) - Constructor for class net.imglib2.algorithm.gauss.GaussFloat

Deprecated.

Computes a Gaussian convolution with float precision on a RandomAccessible of FloatType in a certain Interval and returns an Img defined by the ImgFactory containing the result

GaussFloat(double[], RandomAccessible<FloatType>, Interval, RandomAccessible<FloatType>, Localizable, ImgFactory<FloatType>) - Constructor for class net.imglib2.algorithm.gauss.GaussFloat

Deprecated.

Computes a Gaussian convolution with float precision on a RandomAccessible of FloatType in a certain Interval and writes it into a given RandomAccessible at a specific Point

GaussFloat(double[], Img<FloatType>) - Constructor for class net.imglib2.algorithm.gauss.GaussFloat

Deprecated.

Computes a Gaussian convolution with float precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary

GaussFloat(double[], Img<FloatType>, OutOfBoundsFactory<FloatType, Img<FloatType>>) - Constructor for class net.imglib2.algorithm.gauss.GaussFloat

Deprecated.

Computes a Gaussian convolution with float precision on an entire Img

GaussGeneral<T extends NumericType<T>> - Class in net.imglib2.algorithm.gauss

Deprecated.

GaussGeneral(double[], RandomAccessible<T>, Interval, ImgFactory<T>, T) - Constructor for class net.imglib2.algorithm.gauss.GaussGeneral

Deprecated.

Computes a Gaussian convolution on a RandomAccessible in a certain Interval and returns an Img defined by the ImgFactory containing the result.

GaussGeneral(double[], RandomAccessible<T>, Interval, RandomAccessible<T>, Localizable, ImgFactory<T>, T) - Constructor for class net.imglib2.algorithm.gauss.GaussGeneral

Deprecated.

Computes a Gaussian convolution with any precision on a RandomAccessible in a certain Interval and writes it into a given RandomAccessible at a specific Point WARNING: This is a very slow implementation as it is not written for NativeType.

GaussGeneral(double[], Img<T>) - Constructor for class net.imglib2.algorithm.gauss.GaussGeneral

Deprecated.

Computes a Gaussian convolution with any precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary WARNING: This is a very slow implementation as it is not written for NativeType.

GaussGeneral(double[], Img<T>, OutOfBoundsFactory<T, Img<T>>) - Constructor for class net.imglib2.algorithm.gauss.GaussGeneral

Deprecated.

GaussNativeType<T extends NumericType<T> & NativeType<T>> - Class in net.imglib2.algorithm.gauss

Deprecated.

GaussNativeType(double[], RandomAccessible<T>, Interval, ImgFactory<T>, T) - Constructor for class net.imglib2.algorithm.gauss.GaussNativeType

Deprecated.

Computes a Gaussian convolution on a RandomAccessible in a certain Interval and returns an Img defined by the ImgFactory containing the result.

GaussNativeType(double[], RandomAccessible<T>, Interval, RandomAccessible<T>, Localizable, ImgFactory<T>, T) - Constructor for class net.imglib2.algorithm.gauss.GaussNativeType

Deprecated.

Computes a Gaussian convolution with any precision on a RandomAccessible in a certain Interval and writes it into a given RandomAccessible at a specific Point

GaussNativeType(double[], Img<T>) - Constructor for class net.imglib2.algorithm.gauss.GaussNativeType

Deprecated.

Computes a Gaussian convolution with any precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary

GaussNativeType(double[], Img<T>, OutOfBoundsFactory<T, Img<T>>) - Constructor for class net.imglib2.algorithm.gauss.GaussNativeType

Deprecated.

Computes a Gaussian convolution with any precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary

gen(List<Point>, T, double) - Static method in class net.imglib2.algorithm.math.ImgMath

gen(List<Point>, T, double, Object) - Static method in class net.imglib2.algorithm.math.ImgMath

gen(List<Point>, T, double, Object, Interval) - Static method in class net.imglib2.algorithm.math.ImgMath

gen(List<Point>, List<T>, double) - Static method in class net.imglib2.algorithm.math.ImgMath

gen(List<Point>, List<T>, double, Object) - Static method in class net.imglib2.algorithm.math.ImgMath

gen(List<Point>, List<T>, double, Object, Interval) - Static method in class net.imglib2.algorithm.math.ImgMath

gen(KDTree<T>, double) - Static method in class net.imglib2.algorithm.math.ImgMath

gen(KDTree<T>, double, Object) - Static method in class net.imglib2.algorithm.math.ImgMath

gen(KDTree<T>, double, Object, Interval) - Static method in class net.imglib2.algorithm.math.ImgMath

GeneralRectangleShape - Class in net.imglib2.algorithm.neighborhood

A factory for Accessibles on rectangular neighboorhoods.

GeneralRectangleShape(int, int, boolean) - Constructor for class net.imglib2.algorithm.neighborhood.GeneralRectangleShape

generate(Interval, int[], T, Set<AccessFlags>, Consumer<RandomAccessibleInterval<T>>) - Static method in class net.imglib2.algorithm.lazy.Lazy

Create a memory CachedCellImg with a cell generator Consumer.

genericIntegerTypeConverter() - Static method in class net.imglib2.algorithm.math.abstractions.Util

genericRealTypeConverter() - Static method in class net.imglib2.algorithm.math.abstractions.Util

get() - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorEven

get() - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorFunction

get() - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorOdd

get() - Method in class net.imglib2.algorithm.gauss.SamplingLineIterator

Deprecated.

get() - Method in class net.imglib2.algorithm.gradient.ScaleAsFunctionOfPosition.ScaledRandomAccess

get() - Method in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator

get(long, long) - Method in class net.imglib2.algorithm.linalg.matrix.RealCompositeMatrix

get() - Method in class net.imglib2.algorithm.math.execution.FunctionCursor

get() - Method in class net.imglib2.algorithm.math.execution.FunctionRandomAccess

get() - Method in class net.imglib2.algorithm.math.execution.FunctionRandomAccessDouble

get() - Method in class net.imglib2.algorithm.math.execution.KDTreeRadiusSource

get() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor

get() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler

get() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor

get() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler

get() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor

get() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler

get() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor

get() - Method in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler

get() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor

get() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler

get() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor

get() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler

get() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor

get() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler

get() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor

get() - Method in class net.imglib2.algorithm.region.CircleCursor

get() - Method in class net.imglib2.algorithm.region.EllipseCursor

get() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor

get() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor

Deprecated.

get() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2

Deprecated.

get(int) - Method in interface net.imglib2.algorithm.util.Grids.GetForDimension

get(String, Singleton.ThrowingSupplier<T, E>) - Static method in class net.imglib2.algorithm.util.Singleton

Get or create the named singleton instance of T.

get() - Method in interface net.imglib2.algorithm.util.Singleton.ThrowingSupplier

getAboveNodes() - Method in class net.imglib2.algorithm.kdtree.SplitHyperPlaneKDTree

getAllowedToMoveInDim() - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization

getAllowMaximaTolerance() - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization

getBelowNodes() - Method in class net.imglib2.algorithm.kdtree.SplitHyperPlaneKDTree

getBiggestDimension(Interval) - Static method in class net.imglib2.algorithm.localextrema.LocalExtrema

getBin(T) - Method in class net.imglib2.algorithm.stats.Histogram

Returns the bin count corresponding to a given Type.

getBin(int) - Method in class net.imglib2.algorithm.stats.Histogram

Returns the bin count given by the indicated bin index.

getBinCenter(int) - Method in class net.imglib2.algorithm.stats.Histogram

Creates and returns the a Type whose value corresponds to the center of the bin indexed by i.

getBinCenters() - Method in class net.imglib2.algorithm.stats.Histogram

Creates and returns a List containing Types that correspond to the centers of the histogram bins.

getBinMapper() - Method in class net.imglib2.algorithm.stats.Histogram

Returns this Histogram's HistogramBinMapper.

getBinWidth() - Method in class net.imglib2.algorithm.stats.RealBinMapper

getBorderAfter() - Method in class net.imglib2.algorithm.convolution.fast_gauss.FastGaussConvolverRealType

getBorderAfter() - Method in class net.imglib2.algorithm.convolution.kernel.KernelConvolverFactory

getBorderAfter() - Method in interface net.imglib2.algorithm.convolution.LineConvolverFactory

When doing a convolution, a neighborhood of a pixel needs to be known.

getBorderBefore() - Method in class net.imglib2.algorithm.convolution.fast_gauss.FastGaussConvolverRealType

getBorderBefore() - Method in class net.imglib2.algorithm.convolution.kernel.KernelConvolverFactory

getBorderBefore() - Method in interface net.imglib2.algorithm.convolution.LineConvolverFactory

When doing a convolution, a neighborhood of a pixel needs to be known.

getCanMoveOutside() - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization

getChildren() - Method in interface net.imglib2.algorithm.componenttree.Component

Get the children of this node in the ComponentTree.

getChildren() - Method in class net.imglib2.algorithm.componenttree.mser.Mser

Get the children of this node in the MserTree.

getChildren() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelListComponent

Get the children of this node in the PixelListComponentTree.

getChildren() - Method in interface net.imglib2.algorithm.tree.TreeNode

Get the children of this node in the Tree.

getConvolver(RandomAccess<? extends RealType<?>>, RandomAccess<? extends RealType<?>>, int, long) - Method in class net.imglib2.algorithm.convolution.fast_gauss.FastGaussConvolverRealType

getConvolver(RandomAccess<? extends NumericType<?>>, RandomAccess<? extends NumericType<?>>, int, long) - Method in class net.imglib2.algorithm.convolution.kernel.KernelConvolverFactory

getConvolver(RandomAccess<? extends T>, RandomAccess<? extends T>, int, long) - Method in interface net.imglib2.algorithm.convolution.LineConvolverFactory

The Runnable returned by this method is responsible for convolving on line of the image.

getCursor() - Method in interface net.imglib2.algorithm.math.abstractions.IImgSourceIterable

getCursor() - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterable

getCursor() - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterableDirect

getDistance() - Method in class net.imglib2.algorithm.kdtree.HyperPlane

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler

getDoublePosition(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor

getDoublePosition(int) - Method in class net.imglib2.algorithm.region.CircleCursor

getDoublePosition(int) - Method in class net.imglib2.algorithm.region.EllipseCursor

getDoublePosition(int) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor

getDoublePosition(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor

Deprecated.

getDoublePosition(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2

Deprecated.

getDoubleValue() - Method in class net.imglib2.algorithm.math.execution.LetBinding

getDownsampledDimensions(long[], boolean[]) - Static method in class net.imglib2.algorithm.blocks.downsample.Downsample

Returns recommended size of the downsampled image, given an input image of size imgDimensions.

getEdgels(RandomAccessibleInterval<T>, ImgFactory<T>, double) - Static method in class net.imglib2.algorithm.edge.SubpixelEdgelDetection

Compute the set of sub-pixel edgels for the input image.

getErrorMessage() - Method in interface net.imglib2.algorithm.Algorithm

getErrorMessage() - Method in class net.imglib2.algorithm.BenchmarkAlgorithm

getErrorMessage() - Method in class net.imglib2.algorithm.floydsteinberg.FloydSteinbergDithering

getErrorMessage() - Method in class net.imglib2.algorithm.integral.IntegralImg

getErrorMessage() - Method in class net.imglib2.algorithm.integral.ScaleAreaAveraging2d

getErrorMessage() - Method in class net.imglib2.algorithm.labeling.Watershed

getErrorMessage() - Method in class net.imglib2.algorithm.MultiThreadedAlgorithm

getErrorMessage() - Method in class net.imglib2.algorithm.stats.ComputeMinMax

getErrorMessage() - Method in class net.imglib2.algorithm.stats.Histogram

getEuclideanNorm(RandomAccessibleInterval<T>) - Static method in class net.imglib2.algorithm.metrics.imagequality.NRMSE

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Abstract3x3TableOperation

Gets default value for neighborhood pixels outside of the image.

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Branchpoints

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Bridge

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Clean

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Endpoints

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Fill

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Hbreak

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Life

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Majority

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Remove

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Thicken

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Thin1

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Thin2

getExtendedValue() - Method in class net.imglib2.algorithm.morphology.table2d.Vbreak

getFactory() - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getFactory() - Method in enum net.imglib2.algorithm.labeling.ConnectedComponents.StructuringElement

getFirst() - Method in class net.imglib2.algorithm.math.abstractions.ABinaryFunction

getFirst() - Method in class net.imglib2.algorithm.math.abstractions.ATrinaryFunction

getFirst() - Method in class net.imglib2.algorithm.math.abstractions.AUnaryFunction

getFirst() - Method in interface net.imglib2.algorithm.math.abstractions.IUnaryFunction

getFirst() - Method in class net.imglib2.algorithm.math.Let

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler

getFloatPosition(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor

getFloatPosition(int) - Method in class net.imglib2.algorithm.region.CircleCursor

getFloatPosition(int) - Method in class net.imglib2.algorithm.region.EllipseCursor

getFloatPosition(int) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor

getFloatPosition(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor

Deprecated.

getFloatPosition(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2

Deprecated.

getFN() - Method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary

getFP() - Method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary

getGradient() - Method in class net.imglib2.algorithm.edge.Edgel

Get the gradient direction at the edgel position.

GetGridCoordinates(int[], long[]) - Constructor for class net.imglib2.algorithm.util.Grids.GetGridCoordinates

GetGridCoordinates(int[], Interval) - Constructor for class net.imglib2.algorithm.util.Grids.GetGridCoordinates

Convenience constructor for Interval.

GetGridCoordinates(int[]) - Constructor for class net.imglib2.algorithm.util.Grids.GetGridCoordinates

Convenience constructor for zero min grid.

getGroundTruthLabelSize(int) - Method in class net.imglib2.algorithm.metrics.segmentation.ConfusionMatrix

Return the number of pixels corresponding to the ground-truth label indexed by labelIndex.

getHistogram() - Method in class net.imglib2.algorithm.stats.Histogram

Returns the histogram array.

getHyperplanes() - Method in class net.imglib2.algorithm.kdtree.ConvexPolytope

getImage() - Method in class net.imglib2.algorithm.bspline.BSplineDecomposition

getImageSigma() - Method in class net.imglib2.algorithm.dog.DogDetection

getIncrements() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape

getInput() - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getInputInterval() - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getInsideNodes() - Method in class net.imglib2.algorithm.kdtree.ClipConvexPolytopeKDTree

getIntegerNames(int) - Static method in class net.imglib2.algorithm.labeling.AllConnectedComponents

Deprecated.

Return an iterator that (endlessly) dispenses increasing integer values for labeling components.

getIntercept(long, long) - Static method in class net.imglib2.algorithm.hough.HoughTransforms

Method used to convert the {rho, theta} output of the HoughTransforms.voteLines(net.imglib2.RandomAccessibleInterval<T>, net.imglib2.RandomAccessibleInterval) algorithm into a more useful y-intercept value.

getIntersection(int, int) - Method in class net.imglib2.algorithm.metrics.segmentation.ConfusionMatrix

Return the number of pixels shared by the ground-truth label indexed by gtIndex and the prediction label indexed by predIndex.

getInterval() - Method in interface net.imglib2.algorithm.math.abstractions.SourceInterval

getInterval() - Method in class net.imglib2.algorithm.math.ImgSource

getInterval() - Method in class net.imglib2.algorithm.math.KDTreeSource

getIntPosition(int) - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorEven

getIntPosition(int) - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorOdd

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler

getIntPosition(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor

getIntPosition(int) - Method in class net.imglib2.algorithm.region.CircleCursor

getIntPosition(int) - Method in class net.imglib2.algorithm.region.EllipseCursor

getIntPosition(int) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor

getIntPosition(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor

Deprecated.

getIntPosition(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2

Deprecated.

getIoU() - Method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary

getIterator(Interval, Interval, int) - Static method in class net.imglib2.algorithm.bspline.BSplineDecomposition

getIterator(Interval, int) - Static method in class net.imglib2.algorithm.bspline.BSplineDecomposition

getKDTree() - Method in class net.imglib2.algorithm.math.KDTreeSource

getKeepDoGImg() - Method in class net.imglib2.algorithm.dog.DogDetection

getKernel() - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getLargestDimension(Interval) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform

Convenience method to find largest dimension of Interval interval.

getLeafs(Forest<T>) - Static method in class net.imglib2.algorithm.tree.TreeUtils

Find all leaf nodes of a forest.

getLineDimension() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape

getLocalIoUScore(ConfusionMatrix, int, int, double) - Static method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics

Compute the IoU between the ground-truth label iGT and the prediction label jPred.

getLocalIoUScore(ConfusionMatrix, int, int) - Static method in class net.imglib2.algorithm.metrics.segmentation.SEGMetrics

getLongPosition(int) - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorEven

getLongPosition(int) - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorOdd

getLongPosition(int) - Method in class net.imglib2.algorithm.math.execution.FunctionCursor

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler

getLongPosition(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor

getLongPosition(int) - Method in class net.imglib2.algorithm.region.CircleCursor

getLongPosition(int) - Method in class net.imglib2.algorithm.region.EllipseCursor

getLongPosition(int) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor

getLongPosition(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor

Deprecated.

getLongPosition(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2

Deprecated.

getLoopSize() - Method in class net.imglib2.multithreading.Chunk

Deprecated.

getMagnitude() - Method in class net.imglib2.algorithm.edge.Edgel

Get the gradient magnitude at the edgel position.

getMax() - Method in class net.imglib2.algorithm.stats.ComputeMinMax

getMaxBin() - Method in interface net.imglib2.algorithm.stats.HistogramBinMapper

Returns the maximum bin for the histogram.

getMaxBin() - Method in class net.imglib2.algorithm.stats.IntBinMapper

getMaxBin() - Method in class net.imglib2.algorithm.stats.RealBinMapper

getMaximaTolerance() - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization

getMaxNumMoves() - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization

getMean(RandomAccessibleInterval<T>) - Static method in class net.imglib2.algorithm.metrics.imagequality.NRMSE

getMin() - Method in class net.imglib2.algorithm.stats.ComputeMinMax

getMinBin() - Method in interface net.imglib2.algorithm.stats.HistogramBinMapper

Returns the minimum bin for the histogram.

getMinBin() - Method in class net.imglib2.algorithm.stats.IntBinMapper

getMinBin() - Method in class net.imglib2.algorithm.stats.RealBinMapper

getMinf() - Method in class net.imglib2.algorithm.dog.DogDetection

getMinMaxNorm(RandomAccessibleInterval<T>) - Static method in class net.imglib2.algorithm.metrics.imagequality.NRMSE

getMinPeakValue() - Method in class net.imglib2.algorithm.dog.DogDetection

getName() - Method in interface net.imglib2.algorithm.math.abstractions.IVar

getName() - Method in class net.imglib2.algorithm.math.execution.Variable

getName() - Method in class net.imglib2.algorithm.math.Var

getName() - Method in enum net.imglib2.algorithm.metrics.segmentation.MultiMetrics.Metrics

getNeighborhood(Shape, EuclideanSpace) - Static method in class net.imglib2.algorithm.morphology.MorphologyUtils

getNormal() - Method in class net.imglib2.algorithm.kdtree.HyperPlane

getNormalizeMinPeakValue() - Method in class net.imglib2.algorithm.dog.DogDetection

getNumberGroundTruthLabels() - Method in class net.imglib2.algorithm.metrics.segmentation.ConfusionMatrix

Return the number of ground-truth labels.

getNumberPredictionLabels() - Method in class net.imglib2.algorithm.metrics.segmentation.ConfusionMatrix

Return the number of prediction labels.

getNumBins() - Method in class net.imglib2.algorithm.stats.Histogram

Returns the number of bins in this Histogram.

getNumBins() - Method in interface net.imglib2.algorithm.stats.HistogramBinMapper

Returns the number of bins for the histogram.

getNumBins() - Method in class net.imglib2.algorithm.stats.IntBinMapper

getNumBins() - Method in class net.imglib2.algorithm.stats.RealBinMapper

getNumThreads() - Method in class net.imglib2.algorithm.dog.DogDetection

getNumThreads() - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getNumThreads() - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization

getNumThreads() - Method in interface net.imglib2.algorithm.MultiThreaded

The number of threads used by the algorithm

getNumThreads() - Method in class net.imglib2.algorithm.MultiThreadedAlgorithm

getNumThreads() - Method in class net.imglib2.algorithm.stats.ComputeMinMax

getOffset() - Method in class net.imglib2.algorithm.gauss.AbstractLineIterator

Deprecated.

In this way it is possible to reposition the Positionable from outside without having the need to keep the instance explicitly.

getOffset() - Method in class net.imglib2.algorithm.neighborhood.GeneralRectangleShape

getOffset() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape

getOriginalPeak() - Method in class net.imglib2.algorithm.localextrema.RefinedPeak

getOutput() - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getOutputOffset() - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getOutsideNodes() - Method in class net.imglib2.algorithm.kdtree.ClipConvexPolytopeKDTree

getParent() - Method in interface net.imglib2.algorithm.componenttree.Component

Get the parent of this node in the ComponentTree.

getParent() - Method in class net.imglib2.algorithm.componenttree.mser.Mser

Get the parent of this node in the MserTree.

getParent() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelListComponent

Get the parent of this node in the PixelListComponentTree.

getParent() - Method in interface net.imglib2.algorithm.tree.TreeNode

Get the parent of this node in the Tree.

getPeaks() - Method in class net.imglib2.algorithm.dog.DogDetection

If you want to get subpixel-localized peaks, call DogDetection.getSubpixelPeaks() directly.

getPeaks() - Method in class net.imglib2.algorithm.dog.DogDetection.TypedDogDetection

getPositionable() - Method in class net.imglib2.algorithm.gauss.AbstractLineIterator

Deprecated.

In this way it is possible to reposition the Positionable from outside without having the need to keep the instance explicitly.

getPredictionLabelSize(int) - Method in class net.imglib2.algorithm.metrics.segmentation.ConfusionMatrix

Return the number of pixels corresponding to the prediction label indexed by labelIndex.

getProcessingLine(long) - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getProcessingLine(long) - Method in class net.imglib2.algorithm.gauss.GaussDouble

Deprecated.

getProcessingLine(long) - Method in class net.imglib2.algorithm.gauss.GaussFloat

Deprecated.

getProcessingLine(long) - Method in class net.imglib2.algorithm.gauss.GaussGeneral

Deprecated.

getProcessingLine(long) - Method in class net.imglib2.algorithm.gauss.GaussNativeType

Deprecated.

getProcessingTime() - Method in interface net.imglib2.algorithm.Benchmark

getProcessingTime() - Method in class net.imglib2.algorithm.BenchmarkAlgorithm

getProcessingTime() - Method in class net.imglib2.algorithm.floydsteinberg.FloydSteinbergDithering

getProcessingTime() - Method in class net.imglib2.algorithm.MultiThreadedBenchmarkAlgorithm

getProcessingTime() - Method in class net.imglib2.algorithm.stats.ComputeMinMax

getProcessingTime() - Method in class net.imglib2.algorithm.stats.Histogram

getProcessingType() - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getProcessLine() - Method in class net.imglib2.algorithm.gauss.SamplingLineIterator

Deprecated.

getRadius() - Method in class net.imglib2.algorithm.neighborhood.DiamondShape

getRadius() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape

getRadius() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape

getRandomAccessible() - Method in interface net.imglib2.algorithm.math.abstractions.RandomAccessOnly

getRandomAccessible() - Method in class net.imglib2.algorithm.math.BlockReadSource

getRandomAccessible() - Method in class net.imglib2.algorithm.math.execution.BlockReadingSource

getRandomAccessible() - Method in class net.imglib2.algorithm.math.execution.RandomAccessibleOffsetSource

getRandomAccessible() - Method in class net.imglib2.algorithm.math.OffsetSource

getRandomAccessible() - Method in class net.imglib2.algorithm.math.RandomAccessibleSource

getRandomAccessibleInterval() - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterable

getRandomAccessibleInterval() - Method in class net.imglib2.algorithm.math.execution.ImgSourceIterableDirect

getRandomAccessibleInterval() - Method in class net.imglib2.algorithm.math.ImgSource

getRange(int) - Method in class net.imglib2.algorithm.gauss.AbstractGauss

The area for the output/temp that needs to be convolved, always relative to the input of the next convolution operation.

getRequiredBorderSize(Shape, int) - Static method in class net.imglib2.algorithm.localextrema.LocalExtrema

Get the required border size based on the bounding box of the neighborhood specified by shape.

getResult() - Method in class net.imglib2.algorithm.floydsteinberg.FloydSteinbergDithering

getResult() - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getResult() - Method in class net.imglib2.algorithm.integral.IntegralImg

getResult() - Method in class net.imglib2.algorithm.integral.ScaleAreaAveraging2d

getResult() - Method in class net.imglib2.algorithm.labeling.Watershed

getResult() - Method in interface net.imglib2.algorithm.OutputAlgorithm

getReturnInvalidPeaks() - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization

getScores() - Method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary

Compute all metrics scores from the aggregates.

getScrap() - Method in class net.imglib2.algorithm.math.execution.Variable

getScrapValue() - Method in class net.imglib2.algorithm.math.execution.LetBinding

getSecond() - Method in class net.imglib2.algorithm.math.abstractions.ABinaryFunction

getSecond() - Method in class net.imglib2.algorithm.math.abstractions.ATrinaryFunction

getSecond() - Method in interface net.imglib2.algorithm.math.abstractions.IBinaryFunction

getSecond() - Method in class net.imglib2.algorithm.math.Let

getSigma() - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getSize() - Method in class net.imglib2.algorithm.neighborhood.GeneralRectangleShape

getSlope(long) - Static method in class net.imglib2.algorithm.hough.HoughTransforms

getSourceBuffer() - Method in interface net.imglib2.algorithm.blocks.BlockProcessor

Get a src array of sufficient size.

getSourceInterval() - Method in interface net.imglib2.algorithm.blocks.BlockProcessor

getSourcePos() - Method in interface net.imglib2.algorithm.blocks.BlockProcessor

getSourceRandomAccess() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood

getSourceSize() - Method in interface net.imglib2.algorithm.blocks.BlockProcessor

getSourceType() - Method in class net.imglib2.algorithm.blocks.DefaultUnaryBlockOperator

getSourceType() - Method in interface net.imglib2.algorithm.blocks.UnaryBlockOperator

getSpan() - Method in class net.imglib2.algorithm.neighborhood.CenteredRectangleShape

getSpan() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape

getSpan() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape

getSpan() - Method in class net.imglib2.algorithm.neighborhood.RectangleShape

getStartPosition() - Method in class net.imglib2.multithreading.Chunk

Deprecated.

getStructuringElement(int) - Static method in class net.imglib2.algorithm.labeling.AllConnectedComponents

Deprecated.

Return an array of offsets to the 8-connected (or N-d equivalent) structuring element for the dimension space.

getStructuringElementBoundingBox(int) - Method in class net.imglib2.algorithm.neighborhood.CenteredRectangleShape

getStructuringElementBoundingBox() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood

getStructuringElementBoundingBox(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondShape

getStructuringElementBoundingBox() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood

getStructuringElementBoundingBox(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape

getStructuringElementBoundingBox(int) - Method in class net.imglib2.algorithm.neighborhood.GeneralRectangleShape

getStructuringElementBoundingBox() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood

getStructuringElementBoundingBox(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape

getStructuringElementBoundingBox() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood

getStructuringElementBoundingBox(int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape

getStructuringElementBoundingBox() - Method in interface net.imglib2.algorithm.neighborhood.Neighborhood

getStructuringElementBoundingBox() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood

getStructuringElementBoundingBox(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape

getStructuringElementBoundingBox() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood

getStructuringElementBoundingBox(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape

getStructuringElementBoundingBox() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood

getStructuringElementBoundingBox() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter

getStructuringElementBoundingBox(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleShape

getStructuringElementBoundingBox(int) - Method in interface net.imglib2.algorithm.neighborhood.Shape

Get the bounding box for a Shape with numDimensions dimensions.

getSubpixelPeaks() - Method in class net.imglib2.algorithm.dog.DogDetection

getSubpixelPeaks() - Method in class net.imglib2.algorithm.dog.DogDetection.TypedDogDetection

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Abstract3x3TableOperation

The index to the table that's returned is built by examining each pixel and accumulating 2^pixel number.

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Branchpoints

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Bridge

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Clean

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Endpoints

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Fill

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Hbreak

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Life

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Majority

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Remove

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Thicken

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Thin1

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Thin2

getTable() - Method in class net.imglib2.algorithm.morphology.table2d.Vbreak

getTargetType() - Method in class net.imglib2.algorithm.blocks.DefaultUnaryBlockOperator

getTargetType() - Method in interface net.imglib2.algorithm.blocks.UnaryBlockOperator

getTemporaryImgSize() - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getThird() - Method in class net.imglib2.algorithm.math.abstractions.ATrinaryFunction

getThird() - Method in interface net.imglib2.algorithm.math.abstractions.ITrinaryFunction

getTmp1() - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getTmp2() - Method in class net.imglib2.algorithm.gauss.AbstractGauss

getTotalWeight() - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm

getTP() - Method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary

getType() - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorEven

getType() - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorOdd

getType() - Method in class net.imglib2.algorithm.gauss.SamplingLineIterator

Deprecated.

getType() - Method in class net.imglib2.algorithm.gradient.ScaleAsFunctionOfPosition

getType() - Method in class net.imglib2.algorithm.gradient.ScaleAsFunctionOfPosition.ScaledRandomAccess

getType() - Method in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator

getType() - Method in class net.imglib2.algorithm.kdtree.VolumetricSearch

getType() - Method in class net.imglib2.algorithm.math.execution.FunctionCursor

getType() - Method in class net.imglib2.algorithm.math.execution.FunctionRandomAccess

getType() - Method in class net.imglib2.algorithm.math.execution.FunctionRandomAccessDouble

getType() - Method in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction

getType() - Method in class net.imglib2.algorithm.math.execution.KDTreeRadiusSource

getType() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood

getType() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor

getType() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler

getType() - Method in class net.imglib2.algorithm.neighborhood.DiamondShape.NeighborhoodsAccessible

getType() - Method in class net.imglib2.algorithm.neighborhood.DiamondShape.NeighborhoodsIterableInterval

getType() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood

getType() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor

getType() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler

getType() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape.NeighborhoodsAccessible

getType() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape.NeighborhoodsIterableInterval

getType() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood

getType() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor

getType() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler

getType() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape.NeighborhoodsAccessible

getType() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape.NeighborhoodsIterableInterval

getType() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood

getType() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor

getType() - Method in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler

getType() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape.NeighborhoodsAccessible

getType() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape.NeighborhoodsIterableInterval

getType() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood

getType() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor

getType() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler

getType() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape.NeighborhoodsAccessible

getType() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape.NeighborhoodsIterableInterval

getType() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood

getType() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor

getType() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler

getType() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape.NeighborhoodsAccessible

getType() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape.NeighborhoodsIterableInterval

getType() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood

getType() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor

getType() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler

getType() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter

getType() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor

getType() - Method in class net.imglib2.algorithm.neighborhood.RectangleShape.NeighborhoodsAccessible

getType() - Method in class net.imglib2.algorithm.neighborhood.RectangleShape.NeighborhoodsIterableInterval

getType() - Method in class net.imglib2.algorithm.region.CircleCursor

getType() - Method in class net.imglib2.algorithm.region.EllipseCursor

getType() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere

getType() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor

getType() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood

Deprecated.

getType() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2

Deprecated.

getType() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor

Deprecated.

getType() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2

Deprecated.

getTypedDogDetection() - Method in class net.imglib2.algorithm.dog.DogDetection

getValue() - Method in interface net.imglib2.algorithm.componenttree.PartialComponent

Get the threshold value (e.g., grey-level) for this component.

getValue() - Method in class net.imglib2.algorithm.convolution.fast_gauss.FastGaussCalculator

getValue() - Method in class net.imglib2.algorithm.localextrema.RefinedPeak

getVarName() - Method in class net.imglib2.algorithm.math.execution.LetBinding

getVarName() - Method in class net.imglib2.algorithm.math.Let

getVotespaceSize(Dimensions) - Static method in class net.imglib2.algorithm.hough.HoughTransforms

Returns the size of the vote space output image given an input RandomAccessibleInterval.

getVotespaceSize(Dimensions, int) - Static method in class net.imglib2.algorithm.hough.HoughTransforms

Returns the size of the vote space output image given an input RandomAccessibleInterval.

getVotespaceSize(int, int) - Static method in class net.imglib2.algorithm.hough.HoughTransforms

Returns the size of the voteSpace output image given desired nRho and nTheta values.

gradientBackwardDifference(RandomAccessible<T>, RandomAccessibleInterval<T>, int) - Static method in class net.imglib2.algorithm.gradient.PartialDerivative

Compute the backward difference of source in a particular dimension: d_f( x ) = ( f( x ) - f( x - e ) ) where e is the unit vector along that dimension

gradientCentralDifference(RandomAccessible<T>, RandomAccessibleInterval<T>, int) - Static method in class net.imglib2.algorithm.gradient.PartialDerivative

Compute the partial derivative (central difference approximation) of source in a particular dimension: d_f( x ) = ( f( x + e ) - f( x - e ) ) / 2, where e is the unit vector along that dimension.

gradientCentralDifference2(RandomAccessible<T>, RandomAccessibleInterval<T>, int) - Static method in class net.imglib2.algorithm.gradient.PartialDerivative

Compute the partial derivative (central difference approximation) of source in a particular dimension: d_f( x ) = ( f( x + e ) - f( x - e ) ) / 2, where e is the unit vector along that dimension.

gradientCentralDifferenceParallel(RandomAccessible<T>, RandomAccessibleInterval<T>, int, int, ExecutorService) - Static method in class net.imglib2.algorithm.gradient.PartialDerivative

Compute the partial derivative (central difference approximation) of source in a particular dimension: d_f( x ) = ( f( x + e ) - f( x - e ) ) / 2, where e is the unit vector along that dimension.

gradientForwardDifference(RandomAccessible<T>, RandomAccessibleInterval<T>, int) - Static method in class net.imglib2.algorithm.gradient.PartialDerivative

Compute the forward difference of source in a particular dimension: d_f( x ) = ( f( x + e ) - f( x ) ) where e is the unit vector along that dimension

GreaterThan - Class in net.imglib2.algorithm.math

GreaterThan(Object, Object) - Constructor for class net.imglib2.algorithm.math.GreaterThan

greaterThan(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath

Grids - Class in net.imglib2.algorithm.util

Grids() - Constructor for class net.imglib2.algorithm.util.Grids

Grids.CreateAndCropBlockToFitInterval - Class in net.imglib2.algorithm.util

Grids.GetForDimension - Interface in net.imglib2.algorithm.util

Helper interface to get current value of specified dimension

Grids.GetGridCoordinates - Class in net.imglib2.algorithm.util

Grids.MoveForDimension - Interface in net.imglib2.algorithm.util

Helper interface for moving by a specified distance along a specified dimension.

Grids.SetForDimension - Interface in net.imglib2.algorithm.util

Helper interface to set position of specified dimension.

GT(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath

H

halfkernel(double, int, boolean) - Static method in class net.imglib2.algorithm.gauss3.Gauss3: Returns a gaussian half kernel with the given sigma and size.
halfkernels(double[]) - Static method in class net.imglib2.algorithm.gauss3.Gauss3
halfkernelsizes(double[]) - Static method in class net.imglib2.algorithm.gauss3.Gauss3
halfToFullKernel(double[]) - Static method in class net.imglib2.algorithm.convolution.kernel.Kernel1D
hasNext() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelList.PixelListIterator
hasNext() - Method in class net.imglib2.algorithm.gauss.AbstractLineIterator: Deprecated.
hasNext() - Method in class net.imglib2.algorithm.math.execution.FunctionCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodCursor
hasNext() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor
hasNext() - Method in class net.imglib2.algorithm.region.CircleCursor
hasNext() - Method in class net.imglib2.algorithm.region.EllipseCursor
hasNext() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
hasNext() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
hasNext() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2: Deprecated.
Hbreak - Class in net.imglib2.algorithm.morphology.table2d: Removes pixels that form vertical bridges between horizontal lines.
Hbreak() - Constructor for class net.imglib2.algorithm.morphology.table2d.Hbreak
hbreak(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Hbreak
hbreak(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Hbreak
HessianMatrix - Class in net.imglib2.algorithm.gradient: Compute entries of n-dimensional Hessian matrix.
HessianMatrix() - Constructor for class net.imglib2.algorithm.gradient.HessianMatrix
hierarchy(IFunction) - Static method in class net.imglib2.algorithm.math.abstractions.Util: Generate a printable, indented String with the nested hierarchy of operations under IFunction f.
hierarchy(OFunction<?>) - Static method in class net.imglib2.algorithm.math.abstractions.Util
Histogram<T> - Class in net.imglib2.algorithm.stats: Implements a Histogram over an Image.
Histogram(HistogramBinMapper<T>, RealCursor<T>) - Constructor for class net.imglib2.algorithm.stats.Histogram: Create a Histogram using the given mapper, calculating from the given Cursor.
Histogram(HistogramBinMapper<T>, Img<T>) - Constructor for class net.imglib2.algorithm.stats.Histogram: Create a Histogram using the given mapper, calculating from the given Image.
HistogramBinMapper<T> - Interface in net.imglib2.algorithm.stats: An interface used by the Histogram class to map Type objects to histogram bins.
HorizontalLineNeighborhood<T> - Class in net.imglib2.algorithm.neighborhood
HorizontalLineNeighborhood.LocalCursor - Class in net.imglib2.algorithm.neighborhood
HorizontalLineNeighborhoodCursor<T> - Class in net.imglib2.algorithm.neighborhood
HorizontalLineNeighborhoodCursor(RandomAccessibleInterval<T>, long, int, boolean, HorizontalLineNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodCursor
HorizontalLineNeighborhoodFactory<T> - Interface in net.imglib2.algorithm.neighborhood
HorizontalLineNeighborhoodLocalizableSampler<T> - Class in net.imglib2.algorithm.neighborhood
HorizontalLineNeighborhoodLocalizableSampler(RandomAccessible<T>, long, int, boolean, HorizontalLineNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler
HorizontalLineNeighborhoodLocalizableSampler(HorizontalLineNeighborhoodLocalizableSampler<T>) - Constructor for class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler
HorizontalLineNeighborhoodRandomAccess<T> - Class in net.imglib2.algorithm.neighborhood
HorizontalLineNeighborhoodRandomAccess(RandomAccessible<T>, long, int, boolean, HorizontalLineNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
HorizontalLineNeighborhoodRandomAccess(RandomAccessible<T>, long, int, boolean, HorizontalLineNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
HorizontalLineNeighborhoodUnsafe<T> - Class in net.imglib2.algorithm.neighborhood
HorizontalLineShape - Class in net.imglib2.algorithm.neighborhood: A Shape representing finite, centered, symmetric lines, that are parallel to the image axes.
HorizontalLineShape(long, int, boolean) - Constructor for class net.imglib2.algorithm.neighborhood.HorizontalLineShape: Create a new line shape.
HorizontalLineShape.NeighborhoodsAccessible<T> - Class in net.imglib2.algorithm.neighborhood
HorizontalLineShape.NeighborhoodsIterableInterval<T> - Class in net.imglib2.algorithm.neighborhood
HoughTransforms<T extends RealType<T> & Comparable<T>> - Class in net.imglib2.algorithm.hough: This class provides static methods used to detect imperfect shapes in two-dimensional images through the use of the Hough Transform.
HoughTransforms() - Constructor for class net.imglib2.algorithm.hough.HoughTransforms
HyperPlane - Class in net.imglib2.algorithm.kdtree
HyperPlane(double[], double) - Constructor for class net.imglib2.algorithm.kdtree.HyperPlane
HyperPlane(double...) - Constructor for class net.imglib2.algorithm.kdtree.HyperPlane
HyperSphere<T> - Class in net.imglib2.algorithm.region.hypersphere: TODO
HyperSphere(RandomAccessible<T>, Localizable, long) - Constructor for class net.imglib2.algorithm.region.hypersphere.HyperSphere
HyperSphereCursor<T> - Class in net.imglib2.algorithm.region.hypersphere: Iterate over all pixels in an n-dimensional sphere.
HyperSphereCursor(RandomAccessible<T>, long[], long) - Constructor for class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
HyperSphereCursor(HyperSphereCursor<T>) - Constructor for class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
HyperSphereNeighborhood<T> - Class in net.imglib2.algorithm.neighborhood: TODO
HyperSphereNeighborhood.LocalCursor - Class in net.imglib2.algorithm.neighborhood
HyperSphereNeighborhoodCursor<T> - Class in net.imglib2.algorithm.neighborhood
HyperSphereNeighborhoodCursor(RandomAccessibleInterval<T>, long, HyperSphereNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodCursor
HyperSphereNeighborhoodFactory<T> - Interface in net.imglib2.algorithm.neighborhood: INCOMPLETE !!! TODO
HypersphereNeighborhoodLocalizableSampler<T> - Class in net.imglib2.algorithm.neighborhood
HypersphereNeighborhoodLocalizableSampler(RandomAccessible<T>, long, HyperSphereNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler
HypersphereNeighborhoodLocalizableSampler(HypersphereNeighborhoodLocalizableSampler<T>) - Constructor for class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler
HyperSphereNeighborhoodRandomAccess<T> - Class in net.imglib2.algorithm.neighborhood
HyperSphereNeighborhoodRandomAccess(RandomAccessible<T>, long, HyperSphereNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
HyperSphereNeighborhoodRandomAccess(RandomAccessible<T>, long, HyperSphereNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
HyperSphereNeighborhoodRandomAccess(HyperSphereNeighborhoodRandomAccess<T>) - Constructor for class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
HyperSphereNeighborhoodUnsafe<T> - Class in net.imglib2.algorithm.neighborhood
HyperSphereShape - Class in net.imglib2.algorithm.neighborhood: A factory for Accessibles on hyper-sphere neighboorhoods.
HyperSphereShape(long) - Constructor for class net.imglib2.algorithm.neighborhood.HyperSphereShape
HyperSphereShape.NeighborhoodsAccessible<T> - Class in net.imglib2.algorithm.neighborhood
HyperSphereShape.NeighborhoodsIterableInterval<T> - Class in net.imglib2.algorithm.neighborhood

I

IBinaryFunction - Interface in net.imglib2.algorithm.math.abstractions
IBooleanFunction - Interface in net.imglib2.algorithm.math.abstractions
idFromIntervalIndexer(Interval) - Static method in class net.imglib2.algorithm.labeling.ConnectedComponentAnalysis
If - Class in net.imglib2.algorithm.math
If(Object, Object, Object) - Constructor for class net.imglib2.algorithm.math.If
IF(Object, Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
IfStatement<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
IfStatement(OFunction<O>, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.IfStatement
IfStatementBoolean<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
IfStatementBoolean(ABooleanFunction<O>, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.IfStatementBoolean
IFunction - Interface in net.imglib2.algorithm.math.abstractions
IImgSourceIterable - Interface in net.imglib2.algorithm.math.abstractions
image - Variable in class net.imglib2.algorithm.labeling.Watershed
images - Variable in class net.imglib2.algorithm.math.Compute.Parameters
imageSigma - Variable in class net.imglib2.algorithm.dog.DogDetection
img - Variable in class net.imglib2.algorithm.bspline.BSplineDecomposition
img - Variable in class net.imglib2.algorithm.integral.IntegralImg
img(RandomAccessibleInterval<T>) - Static method in class net.imglib2.algorithm.math.ImgMath
imgFactory(R) - Method in class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory.LazyCellImgFactory
imgFactory - Variable in class net.imglib2.algorithm.integral.ScaleAreaAveraging2d
ImgMath - Class in net.imglib2.algorithm.math: An easy yet high performance way to perform pixel-wise math on one or more RandomAccessibleInterval instances.
ImgMath() - Constructor for class net.imglib2.algorithm.math.ImgMath
ImgSource> - Class in net.imglib2.algorithm.math
ImgSource(RandomAccessibleInterval) - Constructor for class net.imglib2.algorithm.math.ImgSource
ImgSourceIterable,O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
ImgSourceIterable(O, Converter<I, O>, RandomAccessibleInterval) - Constructor for class net.imglib2.algorithm.math.execution.ImgSourceIterable
ImgSourceIterableDirect<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
ImgSourceIterableDirect(RandomAccessibleInterval<O>) - Constructor for class net.imglib2.algorithm.math.execution.ImgSourceIterableDirect
inc(RandomAccessible<T>, Localizable, long) - Static method in class net.imglib2.algorithm.region.Circles: Writes a circle in the target RandomAccessible.
inc(RandomAccessible<T>, Localizable, long, int, int) - Static method in class net.imglib2.algorithm.region.Circles: Writes a circle in the target RandomAccessible.
inc(RandomAccessible<T>, Localizable, long, long) - Static method in class net.imglib2.algorithm.region.Ellipses: Writes an ellipse in the target RandomAccessible.
inc(RandomAccessible<T>, Localizable, long, long, int, int) - Static method in class net.imglib2.algorithm.region.Ellipses: Writes an ellipse in the target RandomAccessible.
inConverter - Variable in class net.imglib2.algorithm.math.execution.FunctionCursor
inConverter - Variable in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction
independentCopy() - Method in interface net.imglib2.algorithm.blocks.BlockProcessor
independentCopy() - Method in interface net.imglib2.algorithm.blocks.BlockSupplier: Returns an instance of this BlockSupplier that can be used independently, e.g., in another thread or in another place in the same pipeline.
independentCopy() - Method in class net.imglib2.algorithm.blocks.DefaultUnaryBlockOperator
independentCopy() - Method in interface net.imglib2.algorithm.blocks.UnaryBlockOperator: Returns an instance of this UnaryBlockOperator that can be used independently, e.g., in another thread or in another place in the same pipeline.
index - Variable in class net.imglib2.algorithm.labeling.Watershed.PixelIntensity
inDouble(double, Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with double precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary
inDouble(double[], Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with double precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary
inDouble(double, Img<T>, OutOfBoundsFactory<DoubleType, RandomAccessibleInterval<DoubleType>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with double precision on an entire Img
inDouble(double[], Img<T>, OutOfBoundsFactory<DoubleType, RandomAccessibleInterval<DoubleType>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with double precision on an entire Img
inDouble(double, RandomAccessible<T>, Interval, RandomAccessible<T>, Localizable, ImgFactory<DoubleType>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with double precision on an infinite RandomAccessible
inDouble(double[], RandomAccessible<T>, Interval, RandomAccessible<T>, Localizable, ImgFactory<DoubleType>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with double precision on an infinite RandomAccessible
inDoubleInPlace(double, Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution in-place (temporary imgs are necessary) with double precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary
inDoubleInPlace(double[], Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution in-place (temporary imgs are necessary) with double precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary
inDoubleInPlace(double, Img<T>, OutOfBoundsFactory<DoubleType, RandomAccessibleInterval<DoubleType>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution in-place (temporary imgs are necessary) with double precision on an entire Img
inDoubleInPlace(double[], Img<T>, OutOfBoundsFactory<DoubleType, RandomAccessibleInterval<DoubleType>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution in-place (temporary imgs are necessary) with double precision on an entire Img
inFloat(double, Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with float precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary
inFloat(double[], Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with float precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary
inFloat(double, Img<T>, OutOfBoundsFactory<FloatType, RandomAccessibleInterval<FloatType>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with float precision on an entire Img
inFloat(double[], Img<T>, OutOfBoundsFactory<FloatType, RandomAccessibleInterval<FloatType>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with float precision on an entire Img
inFloat(double, RandomAccessible<T>, Interval, RandomAccessible<T>, Localizable, ImgFactory<FloatType>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with float precision on an infinite RandomAccessible
inFloat(double[], RandomAccessible<T>, Interval, RandomAccessible<T>, Localizable, ImgFactory<FloatType>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with float precision on an infinite RandomAccessible
inFloatInPlace(double, Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution in-place (temporary imgs are necessary) with float precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary
inFloatInPlace(double[], Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution in-place (temporary imgs are necessary) with float precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary
inFloatInPlace(double, Img<T>, OutOfBoundsFactory<FloatType, RandomAccessibleInterval<FloatType>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution in-place (temporary imgs are necessary) with float precision on an entire Img
inFloatInPlace(double[], Img<T>, OutOfBoundsFactory<FloatType, RandomAccessibleInterval<FloatType>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution in-place (temporary imgs are necessary) with float precision on an entire Img
initHorizon - Variable in class net.imglib2.algorithm.bspline.BSplineDecomposition
initialize(double) - Method in class net.imglib2.algorithm.convolution.fast_gauss.FastGaussCalculator
initialize() - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
initializeAntiCausalCoefficients(double, double, T, RandomAccess<T>) - Static method in class net.imglib2.algorithm.bspline.BSplineDecomposition
initializeCausalCoefficients(double, double, int, RandomAccess<T>) - Static method in class net.imglib2.algorithm.bspline.BSplineDecomposition: Data must be 1d or permuted such that the first dimension is the dimension to be iterated over.
inNumericType(double, Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with the precision of the type provided on an entire Img using the OutOfBoundsMirrorFactory with single boundary
inNumericType(double[], Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with the precision of the type provided on an entire Img using the OutOfBoundsMirrorFactory with single boundary
inNumericType(double, Img<T>, OutOfBoundsFactory<T, RandomAccessibleInterval<T>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with the precision of the type provided on an entire Img
inNumericType(double[], Img<T>, OutOfBoundsFactory<T, RandomAccessibleInterval<T>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with the precision of the type provided on an entire Img
inNumericType(double, RandomAccessible<T>, Interval, RandomAccessible<T>, Localizable, ImgFactory<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with the precision of the type provided on an infinite RandomAccessible
inNumericType(double[], RandomAccessible<T>, Interval, RandomAccessible<T>, Localizable, ImgFactory<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with the precision of the type provided on an infinite RandomAccessible
inNumericTypeInPlace(double, Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution in-place (temporary imgs are necessary) with the precision of the type provided on an entire Img using the OutOfBoundsMirrorFactory with single boundary
inNumericTypeInPlace(double[], Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution in-place (temporary imgs are necessary) with the precision of the type provided on an entire Img using the OutOfBoundsMirrorFactory with single boundary
inNumericTypeInPlace(double, Img<T>, OutOfBoundsFactory<T, RandomAccessibleInterval<T>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution in-place (temporary imgs are necessary) with the precision of the type provided on an entire Img
inNumericTypeInPlace(double[], Img<T>, OutOfBoundsFactory<T, RandomAccessibleInterval<T>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution in-place (temporary imgs are necessary) with the precision of the type provided on an entire Img
input - Variable in class net.imglib2.algorithm.dog.DogDetection
IntArrayRankedUnionFind - Class in net.imglib2.algorithm.util.unionfind
IntArrayRankedUnionFind(int) - Constructor for class net.imglib2.algorithm.util.unionfind.IntArrayRankedUnionFind
IntArrayUnionFind - Class in net.imglib2.algorithm.util.unionfind
IntArrayUnionFind(int) - Constructor for class net.imglib2.algorithm.util.unionfind.IntArrayUnionFind
IntArrayUnionFind(int, IntBinaryOperator) - Constructor for class net.imglib2.algorithm.util.unionfind.IntArrayUnionFind
IntBinMapper<T extends IntegerType<T>> - Class in net.imglib2.algorithm.stats: A HistogramBinMapper over IntegerTypes, using the values themselves as the histogram bin centers.
IntBinMapper(T, T) - Constructor for class net.imglib2.algorithm.stats.IntBinMapper: Create an IntBinMapper with the given minimum and maximum bins.
IntBinMapper(T) - Constructor for class net.imglib2.algorithm.stats.IntBinMapper: Create an IntBinMapper with minimum and maximum bin centers corresponding to the minimal and maximal Type values.
integral - Variable in class net.imglib2.algorithm.integral.IntegralImg
IntegralImg<R extends NumericType<R>,T extends NumericType<T> & NativeType<T>> - Class in net.imglib2.algorithm.integral: n-dimensional integral image that stores sums using type <T>.
IntegralImg(RandomAccessibleInterval<R>, T, Converter<R, T>) - Constructor for class net.imglib2.algorithm.integral.IntegralImg
IntegralImg(RandomAccessibleInterval<R>, T, Converter<R, T>, int) - Constructor for class net.imglib2.algorithm.integral.IntegralImg
integralImg - Variable in class net.imglib2.algorithm.integral.ScaleAreaAveraging2d
IntegralImgDouble<R extends NumericType<R>> - Class in net.imglib2.algorithm.integral: Special implementation for double using the basic type to sum up the individual lines.
IntegralImgDouble(RandomAccessibleInterval<R>, DoubleType, Converter<R, DoubleType>) - Constructor for class net.imglib2.algorithm.integral.IntegralImgDouble
IntegralImgLong<R extends NumericType<R>> - Class in net.imglib2.algorithm.integral: Special implementation for long using the basic type to sum up the individual lines.
IntegralImgLong(RandomAccessibleInterval<R>, LongType, Converter<R, LongType>) - Constructor for class net.imglib2.algorithm.integral.IntegralImgLong
integrateLine(int, RandomAccess<T>, T, long) - Method in class net.imglib2.algorithm.integral.IntegralImg
integrateLine(int, RandomAccess<DoubleType>, DoubleType, long) - Method in class net.imglib2.algorithm.integral.IntegralImgDouble
integrateLine(int, RandomAccess<LongType>, LongType, long) - Method in class net.imglib2.algorithm.integral.IntegralImgLong
integrateLineDim0(Converter<R, T>, RandomAccess<R>, RandomAccess<T>, T, T, long) - Method in class net.imglib2.algorithm.integral.IntegralImg
integrateLineDim0(Converter<R, DoubleType>, RandomAccess<R>, RandomAccess<DoubleType>, DoubleType, DoubleType, long) - Method in class net.imglib2.algorithm.integral.IntegralImgDouble
integrateLineDim0(Converter<R, LongType>, RandomAccess<R>, RandomAccess<LongType>, LongType, LongType, long) - Method in class net.imglib2.algorithm.integral.IntegralImgLong
intensity - Variable in class net.imglib2.algorithm.labeling.Watershed.PixelIntensity
intersect(double, double, double, double, int) - Method in interface net.imglib2.algorithm.morphology.distance.Distance: Determine the intersection point in dimension dim of two members of the function family.
intersect(double, double, double, double, int) - Method in class net.imglib2.algorithm.morphology.distance.EuclidianDistanceAnisotropic
intersect(double, double, double, double, int) - Method in class net.imglib2.algorithm.morphology.distance.EuclidianDistanceIsotropic
interval - Variable in class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
interval - Variable in class net.imglib2.algorithm.dog.DogDetection
intervalSource(RandomAccessibleInterval<T>) - Static method in class net.imglib2.algorithm.math.ImgMath: Synonym of img(RandomAccessibleInterval), given that img is a widely used variable name.
into(RandomAccessibleInterval<O>) - Method in class net.imglib2.algorithm.math.Compute: Execute the computation and store the result into the target.
into(RandomAccessibleInterval<O>, Converter<RealType<?>, O>) - Method in class net.imglib2.algorithm.math.Compute: Execute the mathematical operations and store the result into the given RandomAccessibleInterval.
into(RandomAccessibleInterval<O>, C) - Method in class net.imglib2.algorithm.math.Compute
into(RandomAccessibleInterval<O>, Converter<RealType<?>, C>, C, Converter<C, O>) - Method in class net.imglib2.algorithm.math.Compute
into(RandomAccessibleInterval<O>, Converter<RealType<?>, C>, C, Converter<C, O>, boolean) - Method in class net.imglib2.algorithm.math.Compute: Execute the mathematical operations and store the result into the given RandomAccessibleInterval.
intoArrayImg() - Method in class net.imglib2.algorithm.math.Compute
intoArrayImg(C, O) - Method in class net.imglib2.algorithm.math.Compute
intoArrayImg(O) - Method in class net.imglib2.algorithm.math.Compute
intoImg() - Method in class net.imglib2.algorithm.math.Compute: Execute the computation and store the result into a newly created Img of the same Type (and kind, by ImgFactory) as one of the input images, using as the computation Type the type of that picked input image.
intoImg(O) - Method in class net.imglib2.algorithm.math.Compute: Execute the computation and store the result into a newly created Img of the same kind, by ImgFactory, as one of the input images, but of type outputType, which is also used as the computation Type.
intoImg(C, O) - Method in class net.imglib2.algorithm.math.Compute: Execute the computation and store the result into a newly created Img of the same kind, by ImgFactory, as one of the input images, but of type outputType, while using computeType for math operations, converting to the outputType to store the result.
intSetCount() - Method in class net.imglib2.algorithm.util.unionfind.IntArrayRankedUnionFind
intSetCount() - Method in class net.imglib2.algorithm.util.unionfind.IntArrayUnionFind
intSize() - Method in class net.imglib2.algorithm.util.unionfind.IntArrayRankedUnionFind
intSize() - Method in class net.imglib2.algorithm.util.unionfind.IntArrayUnionFind
invalid() - Static method in interface net.imglib2.algorithm.linalg.eigen.EigenValues
invMap(int) - Method in interface net.imglib2.algorithm.stats.HistogramBinMapper: Maps a given histogram bin index to a Type containing the bin center value.
invMap(int) - Method in class net.imglib2.algorithm.stats.IntBinMapper
invMap(int) - Method in class net.imglib2.algorithm.stats.RealBinMapper
isArray - Variable in class net.imglib2.algorithm.gauss.GaussDouble: Deprecated.
isArray() - Method in class net.imglib2.algorithm.gauss.GaussDouble: Deprecated.
isArray - Variable in class net.imglib2.algorithm.gauss.GaussFloat: Deprecated.
isArray() - Method in class net.imglib2.algorithm.gauss.GaussFloat: Deprecated.
isArray - Variable in class net.imglib2.algorithm.gauss.GaussNativeType: Deprecated.
isArray() - Method in class net.imglib2.algorithm.gauss.GaussNativeType: Deprecated.
isEmpty() - Method in class net.imglib2.algorithm.labeling.AllConnectedComponents.PositionStack: Deprecated.
IsGreaterThan<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
IsGreaterThan(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.IsGreaterThan
isIntegerDivision(RandomAccessibleInterval<?>, RandomAccessibleInterval<?>) - Static method in class net.imglib2.algorithm.integral.ScaleAreaAveraging2d: The dimensions of the integral image are always +1 from the integrated image.
IsLessThan<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
IsLessThan(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.IsLessThan
isOne() - Method in interface net.imglib2.algorithm.math.abstractions.OFunction
isOne() - Method in class net.imglib2.algorithm.math.execution.NumericSource
isPadded - Variable in class net.imglib2.algorithm.bspline.BSplineDecomposition
isRandomAccessOnly() - Method in interface net.imglib2.algorithm.math.abstractions.RandomAccessOnly
isSkippingCenter() - Method in class net.imglib2.algorithm.neighborhood.CenteredRectangleShape
isSkippingCenter() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape
isSkippingCenter() - Method in class net.imglib2.algorithm.neighborhood.RectangleShape
isTight(int, int) - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
isValid() - Method in class net.imglib2.algorithm.localextrema.RefinedPeak
isZero() - Method in interface net.imglib2.algorithm.math.abstractions.OFunction
isZero() - Method in class net.imglib2.algorithm.math.execution.NumericSource
IterableRandomAccessibleFunction<C extends RealType<C>,O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution: A View of the computation defined by an IFunction.
IterableRandomAccessibleFunction(IFunction, Converter<RealType<?>, C>, C, O, Converter<C, O>) - Constructor for class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction
IterableRandomAccessibleFunction(IFunction, O) - Constructor for class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction: Use a default Converter as defined by Util.genericRealTypeConverter().
IterableRandomAccessibleFunction(IFunction, O, Converter<C, O>) - Constructor for class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction: Use a default Converter as defined by Util.genericRealTypeConverter().
IterableRandomAccessibleFunction(IFunction) - Constructor for class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction: Use a the same RealType as the first input RandomAccessibleInterval found, and a default Converter as defined by Util.genericRealTypeConverter().
IterableRandomAccessibleFunctionDouble<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
IterableRandomAccessibleFunctionDouble(IFunction, O, Converter<RealType<?>, O>) - Constructor for class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunctionDouble
IterableRandomAccessibleFunctionDouble(IFunction, O) - Constructor for class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunctionDouble: Use a default Converter as defined by Util.genericRealTypeConverter().
IterableRandomAccessibleFunctionDouble(IFunction) - Constructor for class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunctionDouble
iterationOrder() - Method in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.DiamondShape.NeighborhoodsIterableInterval
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape.NeighborhoodsIterableInterval
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape.NeighborhoodsIterableInterval
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape.NeighborhoodsIterableInterval
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape.NeighborhoodsIterableInterval
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape.NeighborhoodsIterableInterval
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
iterationOrder() - Method in class net.imglib2.algorithm.neighborhood.RectangleShape.NeighborhoodsIterableInterval
iterationOrder() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
iterationOrder() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
iterationOrder() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
iterator() - Method in class net.imglib2.algorithm.componenttree.mser.Mser: Get an iterator over the pixel locations (Localizable) in this connected component.
iterator() - Method in class net.imglib2.algorithm.componenttree.mser.MserTree: Returns an iterator over all MSERs in the tree.
iterator() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelList
iterator() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelListComponent: Get an iterator over the pixel locations (Localizable) in this connected component.
iterator() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelListComponentTree: Returns an iterator over all connected components in the tree.
iterator() - Method in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction
iterator() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
iterator() - Method in class net.imglib2.algorithm.neighborhood.DiamondShape.NeighborhoodsIterableInterval
iterator() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
iterator() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape.NeighborhoodsIterableInterval
iterator() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
iterator() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape.NeighborhoodsIterableInterval
iterator() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
iterator() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape.NeighborhoodsIterableInterval
iterator() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
iterator() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape.NeighborhoodsIterableInterval
iterator() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
iterator() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape.NeighborhoodsIterableInterval
iterator() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
iterator() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
iterator() - Method in class net.imglib2.algorithm.neighborhood.RectangleShape.NeighborhoodsIterableInterval
iterator() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
iterator() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
iterator() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
ITrinaryFunction - Interface in net.imglib2.algorithm.math.abstractions
IUnaryFunction - Interface in net.imglib2.algorithm.math.abstractions
IVar - Interface in net.imglib2.algorithm.math.abstractions

J

join(int, int) - Method in class net.imglib2.algorithm.util.unionfind.IntArrayRankedUnionFind: Join two sets.
join(long, long) - Method in class net.imglib2.algorithm.util.unionfind.IntArrayRankedUnionFind
join(int, int) - Method in class net.imglib2.algorithm.util.unionfind.IntArrayUnionFind: Join two sets.
join(long, long) - Method in class net.imglib2.algorithm.util.unionfind.IntArrayUnionFind
join(long, long) - Method in class net.imglib2.algorithm.util.unionfind.LongHashMapUnionFind
join(long, long) - Method in interface net.imglib2.algorithm.util.unionfind.UnionFind: Join two sets represented by root1 and root2
jumpFwd(long) - Method in class net.imglib2.algorithm.gauss.AbstractLineIterator: Deprecated.
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.region.CircleCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.region.EllipseCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
jumpFwd(long) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.

K

K1 - Static variable in class net.imglib2.algorithm.metrics.imagequality.SSIM
K2 - Static variable in class net.imglib2.algorithm.metrics.imagequality.SSIM
KDTreeRadiusSource,O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
KDTreeRadiusSource(O, Converter<RealType<?>, O>, KDTree, double, I, Interval) - Constructor for class net.imglib2.algorithm.math.execution.KDTreeRadiusSource
KDTreeSource> - Class in net.imglib2.algorithm.math
KDTreeSource(List<Point>, I, double) - Constructor for class net.imglib2.algorithm.math.KDTreeSource
KDTreeSource(List<Point>, I, double, Object) - Constructor for class net.imglib2.algorithm.math.KDTreeSource
KDTreeSource(List<Point>, I, double, Object, Interval) - Constructor for class net.imglib2.algorithm.math.KDTreeSource
KDTreeSource(List<Point>, List, double) - Constructor for class net.imglib2.algorithm.math.KDTreeSource
KDTreeSource(List<Point>, List, double, Object) - Constructor for class net.imglib2.algorithm.math.KDTreeSource
KDTreeSource(List<Point>, List, double, Object, Interval) - Constructor for class net.imglib2.algorithm.math.KDTreeSource
KDTreeSource(KDTree, double) - Constructor for class net.imglib2.algorithm.math.KDTreeSource
KDTreeSource(KDTree, double, Object) - Constructor for class net.imglib2.algorithm.math.KDTreeSource
KDTreeSource(KDTree, double, Object, Interval) - Constructor for class net.imglib2.algorithm.math.KDTreeSource
keepDoGImg - Variable in class net.imglib2.algorithm.dog.DogDetection
Kernel1D - Class in net.imglib2.algorithm.convolution.kernel: Kernel for a one dimensional convolution.
KernelConvolverFactory - Class in net.imglib2.algorithm.convolution.kernel: Used by SeparableKernelConvolution as LineConvolverFactory for convolution.
KernelConvolverFactory(Kernel1D) - Constructor for class net.imglib2.algorithm.convolution.kernel.KernelConvolverFactory

L

labelAllConnectedComponents(Labeling<T>, RandomAccessibleInterval<BitType>, Iterator<T>) - Static method in class net.imglib2.algorithm.labeling.AllConnectedComponents: Deprecated.

Label all connected components in the given image using an 8-connected structuring element or it's N-dimensional analog (connect if touching along diagonals as well as +/- one element in any direction).
labelAllConnectedComponents(Labeling<T>, RandomAccessibleInterval<BitType>, Iterator<T>, long[][]) - Static method in class net.imglib2.algorithm.labeling.AllConnectedComponents: Deprecated.

Label all connected components in the given image using an arbitrary structuring element.
labelAllConnectedComponents(RandomAccessible<T>, ImgLabeling<L, I>, Iterator<L>, ConnectedComponents.StructuringElement) - Static method in class net.imglib2.algorithm.labeling.ConnectedComponents: Label all connected components in the given input image.
labelAllConnectedComponents(RandomAccessible<T>, ImgLabeling<L, I>, Iterator<L>, ConnectedComponents.StructuringElement, ExecutorService) - Static method in class net.imglib2.algorithm.labeling.ConnectedComponents: Label all connected components in the given input image.
labelAllConnectedComponents(RandomAccessible<T>, RandomAccessibleInterval<L>, ConnectedComponents.StructuringElement) - Static method in class net.imglib2.algorithm.labeling.ConnectedComponents: "Label" all connected components in the given input image.
labelAllConnectedComponents(RandomAccessible<T>, RandomAccessibleInterval<L>, ConnectedComponents.StructuringElement, ExecutorService) - Static method in class net.imglib2.algorithm.labeling.ConnectedComponents: "Label" all connected components in the given input image.
labeling - Variable in class net.imglib2.algorithm.labeling.Watershed.PixelIntensity
labelingX - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
labelingY - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
Lazy - Class in net.imglib2.algorithm.lazy: Convenience methods to create lazy evaluated cached cell images with consumers.
LazyCellImgFactory(int, RandomAccessibleInterval<T>, int[], S) - Constructor for class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory.LazyCellImgFactory
LazyCellImgFactory(BSplineDecomposition<T, S>, Interval, int[], S) - Constructor for class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory.LazyCellImgFactory
LazyMultiMetrics - Class in net.imglib2.algorithm.metrics.segmentation: The LazyMultiMetrics computes a running MultiMetrics over all images added by calling addTimePoint.
LazyMultiMetrics() - Constructor for class net.imglib2.algorithm.metrics.segmentation.LazyMultiMetrics: Constructor with a default threshold of 0.5.
LazyMultiMetrics(double) - Constructor for class net.imglib2.algorithm.metrics.segmentation.LazyMultiMetrics: Constructor that sets the threshold value.
LazySEGMetrics - Class in net.imglib2.algorithm.metrics.segmentation: The LazySEGMetrics computes a running SEGMetrics over all images added by calling addTimePoint.
LazySEGMetrics() - Constructor for class net.imglib2.algorithm.metrics.segmentation.LazySEGMetrics
length - Variable in class net.imglib2.algorithm.linalg.matrix.RealCompositeMatrix
lessThan(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
LessThan - Class in net.imglib2.algorithm.math
LessThan(Object, Object) - Constructor for class net.imglib2.algorithm.math.LessThan
let(String, Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
let(Object[], Object) - Static method in class net.imglib2.algorithm.math.ImgMath
let(Object...) - Static method in class net.imglib2.algorithm.math.ImgMath
Let - Class in net.imglib2.algorithm.math
Let(String, Object, Object) - Constructor for class net.imglib2.algorithm.math.Let
Let(Object[], Object) - Constructor for class net.imglib2.algorithm.math.Let
Let(Object...) - Constructor for class net.imglib2.algorithm.math.Let
LetBinding<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
LetBinding(O, String, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.LetBinding
LetBinding(O, String, Map<String, LetBinding<O>>, IFunction, IFunction, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Constructor for class net.imglib2.algorithm.math.execution.LetBinding
Life - Class in net.imglib2.algorithm.morphology.table2d: Applies the interaction rules from the Game of Life, an example of a cellular automaton.
Life() - Constructor for class net.imglib2.algorithm.morphology.table2d.Life
life(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Life
life(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Life
LineConvolution<T> - Class in net.imglib2.algorithm.convolution: This class can be used to implement a separable convolution.
LineConvolution(LineConvolverFactory<? super T>, int) - Constructor for class net.imglib2.algorithm.convolution.LineConvolution
LineConvolverFactory<T> - Interface in net.imglib2.algorithm.convolution: The interesting part of a separable convolution is how one line of the image is convolved.
load(SingleCellArrayImg<T, ?>) - Method in class net.imglib2.algorithm.lazy.Caches.RandomAccessibleLoader
LocalCursor(RandomAccess<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
LocalCursor(DiamondNeighborhood<T>.LocalCursor) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
LocalCursor(RandomAccess<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor
LocalCursor(DiamondTipsNeighborhood<T>.LocalCursor) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor
LocalCursor(RandomAccess<T>) - Constructor for class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor
LocalCursor(HorizontalLineNeighborhood<T>.LocalCursor) - Constructor for class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor
LocalCursor(RandomAccess<T>) - Constructor for class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor
LocalCursor(HyperSphereNeighborhood<T>.LocalCursor) - Constructor for class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor
LocalCursor(RandomAccess<T>) - Constructor for class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor
LocalCursor(RectangleNeighborhood<T>.LocalCursor) - Constructor for class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor
LocalCursor(RandomAccess<T>) - Constructor for class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor
LocalCursor(RectangleNeighborhoodSkipCenter<T>.LocalCursor) - Constructor for class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor
LocalExtrema - Class in net.imglib2.algorithm.localextrema: Provides LocalExtrema.findLocalExtrema(net.imglib2.RandomAccessibleInterval<T>, net.imglib2.algorithm.localextrema.LocalExtrema.LocalNeighborhoodCheck<P, T>, java.util.concurrent.ExecutorService) to find pixels that are extrema in their local neighborhood.
LocalExtrema() - Constructor for class net.imglib2.algorithm.localextrema.LocalExtrema
LocalExtrema.LocalNeighborhoodCheck<P,T> - Interface in net.imglib2.algorithm.localextrema: A local extremum check.
LocalExtrema.MaximumCheck<T extends Comparable<T>> - Class in net.imglib2.algorithm.localextrema: A LocalExtrema.LocalNeighborhoodCheck to test whether a pixel is a local maximum.
LocalExtrema.MinimumCheck<T extends Comparable<T>> - Class in net.imglib2.algorithm.localextrema: A LocalExtrema.LocalNeighborhoodCheck to test whether a pixel is a local minimum.
localize(int[]) - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorEven
localize(long[]) - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorEven
localize(long[]) - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorOdd
localize(int[]) - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorOdd
localize(long[]) - Method in class net.imglib2.algorithm.math.execution.FunctionCursor
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
localize(long[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor
localize(float[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor
localize(double[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor
localize(int[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor
localize(float[]) - Method in class net.imglib2.algorithm.region.CircleCursor
localize(double[]) - Method in class net.imglib2.algorithm.region.CircleCursor
localize(int[]) - Method in class net.imglib2.algorithm.region.CircleCursor
localize(long[]) - Method in class net.imglib2.algorithm.region.CircleCursor
localize(float[]) - Method in class net.imglib2.algorithm.region.EllipseCursor
localize(double[]) - Method in class net.imglib2.algorithm.region.EllipseCursor
localize(int[]) - Method in class net.imglib2.algorithm.region.EllipseCursor
localize(long[]) - Method in class net.imglib2.algorithm.region.EllipseCursor
localize(float[]) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
localize(double[]) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
localize(int[]) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
localize(long[]) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
localize(float[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
localize(double[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
localize(int[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
localize(long[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
localize(long[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2: Deprecated.
localize(float[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2: Deprecated.
localize(double[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2: Deprecated.
localize(int[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2: Deprecated.
localizingCursor() - Method in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.DiamondShape.NeighborhoodsIterableInterval
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape.NeighborhoodsIterableInterval
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape.NeighborhoodsIterableInterval
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape.NeighborhoodsIterableInterval
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape.NeighborhoodsIterableInterval
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape.NeighborhoodsIterableInterval
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
localizingCursor() - Method in class net.imglib2.algorithm.neighborhood.RectangleShape.NeighborhoodsIterableInterval
localizingCursor() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
localizingCursor() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
localizingCursor() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
LocalNeighborhood<T> - Class in net.imglib2.algorithm.region.localneighborhood.old: Deprecated.
LocalNeighborhood(RandomAccessible<T>, Localizable) - Constructor for class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
LocalNeighborhood2<T> - Class in net.imglib2.algorithm.region.localneighborhood.old: Deprecated.
LocalNeighborhood2(RandomAccessible<T>, Localizable) - Constructor for class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
LocalNeighborhoodCursor<T> - Class in net.imglib2.algorithm.region.localneighborhood.old: Deprecated.
LocalNeighborhoodCursor(RandomAccessible<T>, long[]) - Constructor for class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.

Create new LocalNeighborhoodCursor on a RandomAccessible at a certain location.
LocalNeighborhoodCursor(RandomAccessible<T>, Localizable) - Constructor for class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.

Create new LocalNeighborhoodCursor on a RandomAccessible at a certain location.
LocalNeighborhoodCursor(LocalNeighborhoodCursor<T>) - Constructor for class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
LocalNeighborhoodCursor2<T> - Class in net.imglib2.algorithm.region.localneighborhood.old: Deprecated.
LocalNeighborhoodCursor2(RandomAccess<T>, long[], long) - Constructor for class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2: Deprecated.
LocalNeighborhoodCursor2(RandomAccess<T>, long[]) - Constructor for class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2: Deprecated.
LocalNeighborhoodCursor2(LocalNeighborhoodCursor2<T>) - Constructor for class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2: Deprecated.
log(Object) - Static method in class net.imglib2.algorithm.math.ImgMath
Log - Class in net.imglib2.algorithm.math
Log(Object) - Constructor for class net.imglib2.algorithm.math.Log
Logarithm<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution: Doesn't use NumericType math because it lacks the log function.
Logarithm(O, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.Logarithm
logarithm(Object) - Static method in class net.imglib2.algorithm.math.ImgMath
LogicalAnd<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
LogicalAnd(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.LogicalAnd
LogicalAndBoolean<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
LogicalAndBoolean(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.LogicalAndBoolean
LogicalNot<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
LogicalNot(O, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.LogicalNot
LogicalNotBoolean<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
LogicalNotBoolean(O, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.LogicalNotBoolean
LogicalOr<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
LogicalOr(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.LogicalOr
LogicalOrBoolean<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
LogicalOrBoolean(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.LogicalOrBoolean
LogicalXor<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
LogicalXor(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.LogicalXor
LogicalXorBoolean<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
LogicalXorBoolean(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.LogicalXorBoolean
LongHashMapUnionFind - Class in net.imglib2.algorithm.util.unionfind
LongHashMapUnionFind() - Constructor for class net.imglib2.algorithm.util.unionfind.LongHashMapUnionFind
LongHashMapUnionFind(TLongLongHashMap, int, LongBinaryOperator) - Constructor for class net.imglib2.algorithm.util.unionfind.LongHashMapUnionFind
loopSize - Variable in class net.imglib2.multithreading.Chunk: Deprecated.
LT(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath

M

M - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
Majority - Class in net.imglib2.algorithm.morphology.table2d: Each pixel takes on the value of the majority that surround it (keep pixel value to break ties).
Majority() - Constructor for class net.imglib2.algorithm.morphology.table2d.Majority
majority(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Majority
majority(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Majority
makeKernel(int) - Static method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorFunction
map(T) - Method in interface net.imglib2.algorithm.stats.HistogramBinMapper: Maps a given Type to its histogram bin.
map(T) - Method in class net.imglib2.algorithm.stats.IntBinMapper
map(T) - Method in class net.imglib2.algorithm.stats.RealBinMapper
matchingX - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
matchingY - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
max(int) - Method in class net.imglib2.algorithm.blocks.util.BlockProcessorSourceInterval
max() - Method in class net.imglib2.algorithm.convolution.kernel.Kernel1D
max(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
max(Object...) - Static method in class net.imglib2.algorithm.math.ImgMath
Max - Class in net.imglib2.algorithm.math
Max(Object, Object) - Constructor for class net.imglib2.algorithm.math.Max
Max(Object...) - Constructor for class net.imglib2.algorithm.math.Max
max(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
max(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
max(Positionable) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
max(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
max(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
max(Positionable) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
max(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
max(long[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
max(Positionable) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
max(int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
max(long[]) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
max(Positionable) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
max(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
max(long[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
max(Positionable) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
max(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
max(long[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
max(Positionable) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
max(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
max(long[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
max(Positionable) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
max(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
max(long[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
max(Positionable) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
max(int) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
max(long[]) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
max(Positionable) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
max(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
max(long[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
max(Positionable) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
max(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
max(long[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
max(Positionable) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
Max - Class in net.imglib2.algorithm.stats: Find the maximum value and its position in an IterableInterval.
Max() - Constructor for class net.imglib2.algorithm.stats.Max
maximaTolerance - Variable in class net.imglib2.algorithm.localextrema.SubpixelLocalization
Maximum<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
Maximum(OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.Maximum
maximum(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
maximum(Object...) - Static method in class net.imglib2.algorithm.math.ImgMath
MaximumCheck(T) - Constructor for class net.imglib2.algorithm.localextrema.LocalExtrema.MaximumCheck
maxNumMoves - Variable in class net.imglib2.algorithm.localextrema.SubpixelLocalization
mean() - Method in class net.imglib2.algorithm.componenttree.mser.Mser: Mean of the pixel positions in the region.
meanMatchedIoU(double, double) - Method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary
meanTrueIoU(double, double, double) - Method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary
merge(C) - Method in interface net.imglib2.algorithm.componenttree.PartialComponent: Merge other component (of the same concrete type) into this component.
merge(PixelList) - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelList: Append another PixelList to this one.
MetricsSummary() - Constructor for class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary
min(int) - Method in class net.imglib2.algorithm.blocks.util.BlockProcessorSourceInterval
min() - Method in class net.imglib2.algorithm.convolution.kernel.Kernel1D
min(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
min(Object...) - Static method in class net.imglib2.algorithm.math.ImgMath
Min - Class in net.imglib2.algorithm.math
Min(Object, Object) - Constructor for class net.imglib2.algorithm.math.Min
Min(Object...) - Constructor for class net.imglib2.algorithm.math.Min
min(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
min(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
min(Positionable) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
min(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
min(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
min(Positionable) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
min(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
min(long[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
min(Positionable) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
min(int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
min(long[]) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
min(Positionable) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
min(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
min(long[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
min(Positionable) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
min(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
min(long[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
min(Positionable) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
min(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
min(long[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
min(Positionable) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
min(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
min(long[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
min(Positionable) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
min(int) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
min(long[]) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
min(Positionable) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
min(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
min(long[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
min(Positionable) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
min(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
min(long[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
min(Positionable) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
Min - Class in net.imglib2.algorithm.stats: Find the minimum value and its position in an IterableInterval.
Min() - Constructor for class net.imglib2.algorithm.stats.Min
minf - Variable in class net.imglib2.algorithm.dog.DogDetection
Minimum<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
Minimum(OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.Minimum
minimum(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
minimum(Object...) - Static method in class net.imglib2.algorithm.math.ImgMath
MinimumCheck(T) - Constructor for class net.imglib2.algorithm.localextrema.LocalExtrema.MinimumCheck
minPeakValue - Variable in class net.imglib2.algorithm.dog.DogDetection
minus(Object) - Static method in class net.imglib2.algorithm.math.ImgMath
Minus - Class in net.imglib2.algorithm.math
Minus(Object) - Constructor for class net.imglib2.algorithm.math.Minus
MorphologyUtils - Class in net.imglib2.algorithm.morphology
MorphologyUtils() - Constructor for class net.imglib2.algorithm.morphology.MorphologyUtils
move(int, int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
move(long, int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
move(Localizable) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
move(int[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
move(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
move(int, int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
move(long, int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
move(Localizable) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
move(int[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
move(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
move(int, int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
move(long, int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
move(Localizable) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
move(int[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
move(long[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
move(int, int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
move(long, int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
move(Localizable) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
move(int[]) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
move(long[]) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
move(int, int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
move(long, int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
move(Localizable) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
move(int[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
move(long[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
move(int, int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
move(long, int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
move(Localizable) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
move(int[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
move(long[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
move(int, int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
move(long, int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
move(Localizable) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
move(int[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
move(long[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
move(long, int) - Method in interface net.imglib2.algorithm.util.Grids.MoveForDimension
moves - Variable in class net.imglib2.algorithm.math.execution.BlockReadingSource: First move is relative to the location, rest of moves are relative to prior move.
MSE - Class in net.imglib2.algorithm.metrics.imagequality: Compute the mean squared error (MSE) between a reference and a processed image.
MSE() - Constructor for class net.imglib2.algorithm.metrics.imagequality.MSE
Mser<T extends Type<T>> - Class in net.imglib2.algorithm.componenttree.mser: A maximally stable extremal region (MSER) of the image thresholded at Mser.value().
MserTree<T extends Type<T>> - Class in net.imglib2.algorithm.componenttree.mser: MSER tree of an image stored as a tree of PixelListComponents.
mul(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
mul(Object...) - Static method in class net.imglib2.algorithm.math.ImgMath
Mul - Class in net.imglib2.algorithm.math
Mul(Object, Object) - Constructor for class net.imglib2.algorithm.math.Mul
Mul(Object...) - Constructor for class net.imglib2.algorithm.math.Mul
MultiDimensionConvolution<T> - Class in net.imglib2.algorithm.convolution: It's useful if there are multi Convolutions, each of which only works for a particular dimensionality.
MultiDimensionConvolution(IntFunction<Convolution<T>>) - Constructor for class net.imglib2.algorithm.convolution.MultiDimensionConvolution: Constructor
MultiMetrics - Class in net.imglib2.algorithm.metrics.segmentation: Compute a set of metrics at a specific threshold between the labels of a predicted and of a ground-truth image.
MultiMetrics() - Constructor for class net.imglib2.algorithm.metrics.segmentation.MultiMetrics
MultiMetrics.Metrics - Enum in net.imglib2.algorithm.metrics.segmentation: Metrics computed by MultiMetrics objects.
MultiMetrics.MetricsSummary - Class in net.imglib2.algorithm.metrics.segmentation: An object holding the sum of TP, FP, FN and IoU values, accumulated over the T dimension.
Multiplication<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
Multiplication(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.Multiplication
MultiThreaded - Interface in net.imglib2.algorithm: TODO
MultiThreadedAlgorithm - Class in net.imglib2.algorithm: This is a convenience implementation of an algorithm that implements MultiThreaded and Algorithm so that less code has to be re-implemented.
MultiThreadedAlgorithm() - Constructor for class net.imglib2.algorithm.MultiThreadedAlgorithm
MultiThreadedBenchmarkAlgorithm - Class in net.imglib2.algorithm: This is a convenience implementation of an algorithm that implements MultiThreaded, Benchmark and Algorithm so that less code has to be re-implemented.
MultiThreadedBenchmarkAlgorithm() - Constructor for class net.imglib2.algorithm.MultiThreadedBenchmarkAlgorithm
MunkresKuhnAlgorithm - Class in net.imglib2.algorithm.metrics.segmentation.assignment: Adapted from fiji.plugin.trackmate.tracking.oldlap.hungarian.
MunkresKuhnAlgorithm() - Constructor for class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
must_run_as_RandomAccess - Variable in class net.imglib2.algorithm.math.Compute.Parameters
MyConvolver(int, FastGaussCalculator.Parameters, RandomAccess<? extends RealType<?>>, RandomAccess<? extends RealType<?>>, long) - Constructor for class net.imglib2.algorithm.convolution.fast_gauss.FastGaussConvolverRealType.MyConvolver

N

N - Variable in class net.imglib2.algorithm.convolution.fast_gauss.FastGaussCalculator.Parameters: the width of the filter
N - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
nCols - Variable in class net.imglib2.algorithm.linalg.matrix.RealCompositeMatrix
Neighborhood<T> - Interface in net.imglib2.algorithm.neighborhood
neighborhoodFactory - Variable in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler
neighborhoodFactory - Variable in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler
neighborhoodFactory - Variable in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler
neighborhoodFactory - Variable in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler
neighborhoodFactory - Variable in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
neighborhoods(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.CenteredRectangleShape
neighborhoods(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.DiamondShape
neighborhoods(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape
neighborhoods(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.GeneralRectangleShape
neighborhoods(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape
neighborhoods(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape
neighborhoods(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape
neighborhoods(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape
neighborhoods(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.RectangleShape
neighborhoods(RandomAccessibleInterval<T>) - Method in interface net.imglib2.algorithm.neighborhood.Shape: Get an IterableInterval that contains all Neighborhoods of the source image.
NeighborhoodsAccessible(RandomAccessible<T>, long, DiamondNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondShape.NeighborhoodsAccessible
NeighborhoodsAccessible(RandomAccessible<T>, long, DiamondTipsNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondTipsShape.NeighborhoodsAccessible
NeighborhoodsAccessible(RandomAccessible<T>, long, int, boolean, HorizontalLineNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.HorizontalLineShape.NeighborhoodsAccessible
NeighborhoodsAccessible(RandomAccessible<T>, long, HyperSphereNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.HyperSphereShape.NeighborhoodsAccessible
NeighborhoodsAccessible(RandomAccessible<T>, long[], PairOfPointsNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.PairOfPointsShape.NeighborhoodsAccessible
NeighborhoodsAccessible(RandomAccessible<T>, long, int[], PeriodicLineNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.PeriodicLineShape.NeighborhoodsAccessible
NeighborhoodsAccessible(RandomAccessible<T>, Interval, RectangleNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.RectangleShape.NeighborhoodsAccessible
NeighborhoodsIterableInterval(RandomAccessibleInterval<T>, long, DiamondNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondShape.NeighborhoodsIterableInterval
NeighborhoodsIterableInterval(RandomAccessibleInterval<T>, long, DiamondTipsNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.DiamondTipsShape.NeighborhoodsIterableInterval
NeighborhoodsIterableInterval(RandomAccessibleInterval<T>, long, int, boolean, HorizontalLineNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.HorizontalLineShape.NeighborhoodsIterableInterval
NeighborhoodsIterableInterval(RandomAccessibleInterval<T>, long, HyperSphereNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.HyperSphereShape.NeighborhoodsIterableInterval
NeighborhoodsIterableInterval(RandomAccessibleInterval<T>, long[], PairOfPointsNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.PairOfPointsShape.NeighborhoodsIterableInterval
NeighborhoodsIterableInterval(RandomAccessibleInterval<T>, long, int[], PeriodicLineNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.PeriodicLineShape.NeighborhoodsIterableInterval
NeighborhoodsIterableInterval(RandomAccessibleInterval<T>, Interval, RectangleNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.RectangleShape.NeighborhoodsIterableInterval
neighborhoodsRandomAccessible(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.CenteredRectangleShape
neighborhoodsRandomAccessible(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.DiamondShape
neighborhoodsRandomAccessible(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape
neighborhoodsRandomAccessible(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.GeneralRectangleShape
neighborhoodsRandomAccessible(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape
neighborhoodsRandomAccessible(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape
neighborhoodsRandomAccessible(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape
neighborhoodsRandomAccessible(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape
neighborhoodsRandomAccessible(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.RectangleShape
neighborhoodsRandomAccessible(RandomAccessible<T>) - Method in interface net.imglib2.algorithm.neighborhood.Shape: Get an RandomAccessibleInterval that contains all Neighborhoods of the source image.
neighborhoodsRandomAccessibleSafe(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.CenteredRectangleShape
neighborhoodsRandomAccessibleSafe(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.DiamondShape
neighborhoodsRandomAccessibleSafe(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape
neighborhoodsRandomAccessibleSafe(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.GeneralRectangleShape
neighborhoodsRandomAccessibleSafe(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape
neighborhoodsRandomAccessibleSafe(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape
neighborhoodsRandomAccessibleSafe(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape
neighborhoodsRandomAccessibleSafe(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape
neighborhoodsRandomAccessibleSafe(RandomAccessible<T>) - Method in class net.imglib2.algorithm.neighborhood.RectangleShape
neighborhoodsRandomAccessibleSafe(RandomAccessible<T>) - Method in interface net.imglib2.algorithm.neighborhood.Shape: Get an RandomAccessibleInterval that contains all Neighborhoods of the source image.
neighborhoodsSafe(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.CenteredRectangleShape
neighborhoodsSafe(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.DiamondShape
neighborhoodsSafe(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape
neighborhoodsSafe(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.GeneralRectangleShape
neighborhoodsSafe(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape
neighborhoodsSafe(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape
neighborhoodsSafe(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape
neighborhoodsSafe(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape
neighborhoodsSafe(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.neighborhood.RectangleShape
neighborhoodsSafe(RandomAccessibleInterval<T>) - Method in interface net.imglib2.algorithm.neighborhood.Shape: Get an IterableInterval that contains all Neighborhoods of the source image.
NEQ(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
net.imglib2.algorithm - package net.imglib2.algorithm
net.imglib2.algorithm.binary - package net.imglib2.algorithm.binary
net.imglib2.algorithm.blocks - package net.imglib2.algorithm.blocks
net.imglib2.algorithm.blocks.convert - package net.imglib2.algorithm.blocks.convert
net.imglib2.algorithm.blocks.downsample - package net.imglib2.algorithm.blocks.downsample
net.imglib2.algorithm.blocks.transform - package net.imglib2.algorithm.blocks.transform
net.imglib2.algorithm.blocks.util - package net.imglib2.algorithm.blocks.util
net.imglib2.algorithm.bspline - package net.imglib2.algorithm.bspline
net.imglib2.algorithm.componenttree - package net.imglib2.algorithm.componenttree
net.imglib2.algorithm.componenttree.mser - package net.imglib2.algorithm.componenttree.mser
net.imglib2.algorithm.componenttree.pixellist - package net.imglib2.algorithm.componenttree.pixellist
net.imglib2.algorithm.convolution - package net.imglib2.algorithm.convolution
net.imglib2.algorithm.convolution.fast_gauss - package net.imglib2.algorithm.convolution.fast_gauss
net.imglib2.algorithm.convolution.kernel - package net.imglib2.algorithm.convolution.kernel
net.imglib2.algorithm.dog - package net.imglib2.algorithm.dog
net.imglib2.algorithm.edge - package net.imglib2.algorithm.edge
net.imglib2.algorithm.fill - package net.imglib2.algorithm.fill
net.imglib2.algorithm.floydsteinberg - package net.imglib2.algorithm.floydsteinberg
net.imglib2.algorithm.function - package net.imglib2.algorithm.function
net.imglib2.algorithm.gauss - package net.imglib2.algorithm.gauss
net.imglib2.algorithm.gauss3 - package net.imglib2.algorithm.gauss3
net.imglib2.algorithm.gradient - package net.imglib2.algorithm.gradient
net.imglib2.algorithm.hough - package net.imglib2.algorithm.hough
net.imglib2.algorithm.integral - package net.imglib2.algorithm.integral
net.imglib2.algorithm.interpolation.randomaccess - package net.imglib2.algorithm.interpolation.randomaccess
net.imglib2.algorithm.kdtree - package net.imglib2.algorithm.kdtree
net.imglib2.algorithm.labeling - package net.imglib2.algorithm.labeling
net.imglib2.algorithm.lazy - package net.imglib2.algorithm.lazy
net.imglib2.algorithm.linalg.eigen - package net.imglib2.algorithm.linalg.eigen
net.imglib2.algorithm.linalg.matrix - package net.imglib2.algorithm.linalg.matrix
net.imglib2.algorithm.localextrema - package net.imglib2.algorithm.localextrema
net.imglib2.algorithm.math - package net.imglib2.algorithm.math
net.imglib2.algorithm.math.abstractions - package net.imglib2.algorithm.math.abstractions
net.imglib2.algorithm.math.execution - package net.imglib2.algorithm.math.execution
net.imglib2.algorithm.metrics.imagequality - package net.imglib2.algorithm.metrics.imagequality
net.imglib2.algorithm.metrics.segmentation - package net.imglib2.algorithm.metrics.segmentation
net.imglib2.algorithm.metrics.segmentation.assignment - package net.imglib2.algorithm.metrics.segmentation.assignment
net.imglib2.algorithm.morphology - package net.imglib2.algorithm.morphology
net.imglib2.algorithm.morphology.distance - package net.imglib2.algorithm.morphology.distance
net.imglib2.algorithm.morphology.table2d - package net.imglib2.algorithm.morphology.table2d
net.imglib2.algorithm.neighborhood - package net.imglib2.algorithm.neighborhood
net.imglib2.algorithm.region - package net.imglib2.algorithm.region
net.imglib2.algorithm.region.hypersphere - package net.imglib2.algorithm.region.hypersphere
net.imglib2.algorithm.region.localneighborhood.old - package net.imglib2.algorithm.region.localneighborhood.old
net.imglib2.algorithm.stats - package net.imglib2.algorithm.stats
net.imglib2.algorithm.tree - package net.imglib2.algorithm.tree
net.imglib2.algorithm.util - package net.imglib2.algorithm.util
net.imglib2.algorithm.util.unionfind - package net.imglib2.algorithm.util.unionfind
net.imglib2.multithreading - package net.imglib2.multithreading
newThreads() - Static method in class net.imglib2.multithreading.SimpleMultiThreading: Deprecated.
newThreads(int) - Static method in class net.imglib2.multithreading.SimpleMultiThreading: Deprecated.
next() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelList.PixelListIterator
next() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
next() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodCursor
next() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor
next() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodCursor
next() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor
next() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodCursor
next() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor
next() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodCursor
next() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor
next() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodCursor
next() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor
next() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodCursor
next() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor
next() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodCursor
next() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor
next() - Method in class net.imglib2.algorithm.region.CircleCursor
next() - Method in class net.imglib2.algorithm.region.EllipseCursor
next() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
next() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
NO_EDGE_VALUE - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
Normalize - Class in net.imglib2.algorithm.stats
Normalize() - Constructor for class net.imglib2.algorithm.stats.Normalize
normalize(IterableInterval<T>, T, T) - Static method in class net.imglib2.algorithm.stats.Normalize: Normalize values of an IterableInterval to the range [min, max].
normalizeMinPeakValue - Variable in class net.imglib2.algorithm.dog.DogDetection
NormMinMax<A extends RealType<A>> - Class in net.imglib2.algorithm.function: TODO
NormMinMax(double, double) - Constructor for class net.imglib2.algorithm.function.NormMinMax
NOT(Object) - Static method in class net.imglib2.algorithm.math.ImgMath
notEqual(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
NotEqual - Class in net.imglib2.algorithm.math
NotEqual(Object, Object) - Constructor for class net.imglib2.algorithm.math.NotEqual
NotEquality<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
NotEquality(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.NotEquality
NotLogical - Class in net.imglib2.algorithm.math
NotLogical(Object) - Constructor for class net.imglib2.algorithm.math.NotLogical
NRMSE - Class in net.imglib2.algorithm.metrics.imagequality: Compute the normalised root mean squared error (NRMSE) between a reference and a processed image.
NRMSE() - Constructor for class net.imglib2.algorithm.metrics.imagequality.NRMSE
NRMSE.Normalization - Enum in net.imglib2.algorithm.metrics.imagequality: Normalization methods.
nRows - Variable in class net.imglib2.algorithm.linalg.matrix.RealCompositeMatrix
number(Number) - Static method in class net.imglib2.algorithm.math.ImgMath
numberOfPoles - Variable in class net.imglib2.algorithm.bspline.BSplineDecomposition
NumberSource - Class in net.imglib2.algorithm.math
NumberSource(Number) - Constructor for class net.imglib2.algorithm.math.NumberSource
numDimensions() - Method in class net.imglib2.algorithm.blocks.util.BlockProcessorSourceInterval
numDimensions() - Method in class net.imglib2.algorithm.gauss.AbstractGauss
numDimensions() - Method in class net.imglib2.algorithm.kdtree.ClipConvexPolytopeKDTree
numDimensions() - Method in class net.imglib2.algorithm.kdtree.SplitHyperPlaneKDTree
numDimensions() - Method in class net.imglib2.algorithm.kdtree.VolumetricSearch
numDimensions() - Method in class net.imglib2.algorithm.region.CircleCursor
numDimensions() - Method in class net.imglib2.algorithm.region.EllipseCursor
numDimensions() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
numDimensions() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
numDimensions() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
numDimensions() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
numDimensions() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
NumericSource<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
NumericSource(O, Number) - Constructor for class net.imglib2.algorithm.math.execution.NumericSource
numThreads - Variable in class net.imglib2.algorithm.dog.DogDetection
numThreads - Variable in class net.imglib2.algorithm.localextrema.SubpixelLocalization
numThreads - Variable in class net.imglib2.algorithm.MultiThreadedAlgorithm

O

of(RandomAccessible<T>) - Static method in interface net.imglib2.algorithm.blocks.BlockSupplier: Create a BlockSupplier accessor for an arbitrary RandomAccessible source.
of(RandomAccessible<T>, PrimitiveBlocks.OnFallback) - Static method in interface net.imglib2.algorithm.blocks.BlockSupplier: Create a BlockSupplier accessor for an arbitrary RandomAccessible source.
of(NativeType<?>) - Static method in enum net.imglib2.algorithm.blocks.util.OperandType
of(NativeType<?>, NativeType<?>) - Static method in enum net.imglib2.algorithm.blocks.util.UnaryOperatorType
of(OperandType, OperandType) - Static method in enum net.imglib2.algorithm.blocks.util.UnaryOperatorType
ofConsumer(Consumer<T>) - Static method in class net.imglib2.algorithm.util.ParallelizeOverBlocks: Utility method to turn a Consumer into a Function.
offset(RandomAccessible<T>, long[]) - Static method in class net.imglib2.algorithm.math.ImgMath
offset(IFunction, long[]) - Static method in class net.imglib2.algorithm.math.ImgMath
offset - Variable in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler
OffsetSource> - Class in net.imglib2.algorithm.math
OffsetSource(IFunction, long[]) - Constructor for class net.imglib2.algorithm.math.OffsetSource
OFunction<O extends RealType<O>> - Interface in net.imglib2.algorithm.math.abstractions
one - Variable in class net.imglib2.algorithm.math.abstractions.ABooleanFunction
oneDimensional() - Static method in interface net.imglib2.algorithm.linalg.eigen.EigenValues
ONESIXTH - Static variable in class net.imglib2.algorithm.bspline.AbstractBsplineKernel
ONESIXTH - Static variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
oobFactory - Variable in class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
oobFactory - Variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
open(Img<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Opening: Performs the morphological opening operation on a RealType Img, using a list of Shapes as a structuring element.
open(Img<T>, List<? extends Shape>, T, T, int) - Static method in class net.imglib2.algorithm.morphology.Opening: Performs the morphological opening operation on an Img of Comparable , using a list of Shapes as a structuring element.
open(Img<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Opening: Performs the morphological opening operation on a RealType Img, using a Shape as a structuring element.
open(Img<T>, Shape, T, T, int) - Static method in class net.imglib2.algorithm.morphology.Opening: Performs the morphological opening operation on an Img of Comparable , using a Shape as a structuring element.
open(RandomAccessible<T>, IterableInterval<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Opening: Performs the morphological opening operation on a RealType source RandomAccessible, using a list of Shapes as a structuring element, and writes the result on a specified target which must be an IterableInterval.
open(RandomAccessible<T>, IterableInterval<T>, List<? extends Shape>, T, T, int) - Static method in class net.imglib2.algorithm.morphology.Opening: Performs the morphological opening operation on a source RandomAccessible, using a list of Shapes as a structuring element, and writes the result on a specified target which must be an IterableInterval.
open(RandomAccessible<T>, IterableInterval<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Opening: Performs the morphological opening operation on a RealType source RandomAccessible, using a Shape as a structuring element, and writes the result on a specified target which must be an IterableInterval.
open(RandomAccessible<T>, IterableInterval<T>, Shape, T, T, int) - Static method in class net.imglib2.algorithm.morphology.Opening: Performs the morphological opening operation on a source RandomAccessible, using a Shape as a structuring element, and writes the result on a specified target which must be an IterableInterval.
Opening - Class in net.imglib2.algorithm.morphology: Morphological opening for ImgLib2.
openInPlace(RandomAccessibleInterval<T>, Interval, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.Opening: Performs the opening morphological operation, on a source RandomAccessibleInterval using a list of Shapes as a flat structuring element.
openInPlace(RandomAccessibleInterval<T>, Interval, List<? extends Shape>, T, T, int) - Static method in class net.imglib2.algorithm.morphology.Opening: Performs the opening morphological operation, on a RandomAccessibleInterval using a list of Shapes as a flat structuring element.
openInPlace(RandomAccessibleInterval<T>, Interval, Shape, int) - Static method in class net.imglib2.algorithm.morphology.Opening: Performs the opening morphological operation, on a RealType RandomAccessibleInterval using a Shape as a flat structuring element.
openInPlace(RandomAccessibleInterval<T>, Interval, Shape, T, T, int) - Static method in class net.imglib2.algorithm.morphology.Opening: Performs the opening morphological operation, on a RandomAccessibleInterval using a Shape as a flat structuring element.
OperandType - Enum in net.imglib2.algorithm.blocks.util: Enumerates operand types corresponding to the standard RealTypes.
operation - Variable in class net.imglib2.algorithm.math.execution.FunctionCursor
operation - Variable in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction
OR(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
OR(Object...) - Static method in class net.imglib2.algorithm.math.ImgMath
order - Variable in class net.imglib2.algorithm.bspline.BSplineDecomposition
order - Variable in class net.imglib2.algorithm.bspline.BSplineLazyCoefficientsInterpolatorFactory
order - Variable in class net.imglib2.algorithm.integral.IntegralImg
order - Variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineCoefficientsInterpolatorFactory
originalInterval - Variable in class net.imglib2.algorithm.bspline.BSplineDecomposition
originalPeak - Variable in class net.imglib2.algorithm.localextrema.RefinedPeak
OrLogical - Class in net.imglib2.algorithm.math
OrLogical(Object, Object) - Constructor for class net.imglib2.algorithm.math.OrLogical
OrLogical(Object...) - Constructor for class net.imglib2.algorithm.math.OrLogical
outConverter - Variable in class net.imglib2.algorithm.math.execution.FunctionCursor
outConverter - Variable in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction
output - Variable in class net.imglib2.algorithm.labeling.Watershed
OutputAlgorithm<F> - Interface in net.imglib2.algorithm: TODO This interface should be empty and extend Callable<F>, Algorithm.
outputType - Variable in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction

P

padding - Variable in class net.imglib2.algorithm.bspline.BSplineDecomposition
paddingWidth - Variable in class net.imglib2.algorithm.bspline.BSplineDecomposition
PairOfPointsNeighborhood<T> - Class in net.imglib2.algorithm.neighborhood
PairOfPointsNeighborhood.LocalCursor - Class in net.imglib2.algorithm.neighborhood
PairOfPointsNeighborhoodCursor<T> - Class in net.imglib2.algorithm.neighborhood
PairOfPointsNeighborhoodCursor(RandomAccessibleInterval<T>, long[], PairOfPointsNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodCursor
PairOfPointsNeighborhoodFactory<T> - Interface in net.imglib2.algorithm.neighborhood
PairOfPointsNeighborhoodLocalizableSampler<T> - Class in net.imglib2.algorithm.neighborhood
PairOfPointsNeighborhoodLocalizableSampler(RandomAccessible<T>, long[], PairOfPointsNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler
PairOfPointsNeighborhoodLocalizableSampler(PairOfPointsNeighborhoodLocalizableSampler<T>) - Constructor for class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler
PairOfPointsNeighborhoodRandomAccess<T> - Class in net.imglib2.algorithm.neighborhood
PairOfPointsNeighborhoodRandomAccess(RandomAccessible<T>, long[], PairOfPointsNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
PairOfPointsNeighborhoodRandomAccess(RandomAccessible<T>, long[], PairOfPointsNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
PairOfPointsNeighborhoodUnsafe<T> - Class in net.imglib2.algorithm.neighborhood
PairOfPointsShape - Class in net.imglib2.algorithm.neighborhood: A Shape representing a pair of points.
PairOfPointsShape(long[]) - Constructor for class net.imglib2.algorithm.neighborhood.PairOfPointsShape: Create a new pair of points shape.
PairOfPointsShape.NeighborhoodsAccessible<T> - Class in net.imglib2.algorithm.neighborhood
PairOfPointsShape.NeighborhoodsIterableInterval<T> - Class in net.imglib2.algorithm.neighborhood
parallelInto(RandomAccessibleInterval<O>) - Method in class net.imglib2.algorithm.math.Compute: Compute the result multithreaded into an ArrayImg of the given Type.
parallelInto(Converter<RealType<?>, C>, C, O, Converter<C, O>, RandomAccessibleInterval<O>) - Method in class net.imglib2.algorithm.math.Compute: Compute the result multithreaded into an ArrayImg of the given Type.
parallelIntoArrayImg() - Method in class net.imglib2.algorithm.math.Compute: Compute the result multithreaded into an ArrayImg of the same Type as the first image found, with mathematical operations using that same Type.
parallelIntoArrayImg(O) - Method in class net.imglib2.algorithm.math.Compute: Compute the result multithreaded into an ArrayImg of the given Type.
parallelIntoArrayImg(C, O) - Method in class net.imglib2.algorithm.math.Compute: Compute the result multithreaded into an ArrayImg of the given Type.
parallelIntoArrayImg(Converter<RealType<?>, C>, C, O, Converter<C, O>) - Method in class net.imglib2.algorithm.math.Compute: Compute the result multithreaded into an ArrayImg of the given Type.
parallelize(Function<Interval, T>, Interval, int[], ExecutorService, int) - Static method in class net.imglib2.algorithm.util.ParallelizeOverBlocks: Submit blocked tasks and wait for execution.
parallelize(Function<Interval, T>, long[], long[], int[], ExecutorService, int) - Static method in class net.imglib2.algorithm.util.ParallelizeOverBlocks: Submit blocked tasks and wait for execution.
parallelize(Function<Interval, T>, List<Interval>, ExecutorService, int) - Static method in class net.imglib2.algorithm.util.ParallelizeOverBlocks: Submit blocked tasks and wait for execution.
parallelizeAndWait(Function<Interval, T>, Interval, int[], ExecutorService, int) - Static method in class net.imglib2.algorithm.util.ParallelizeOverBlocks: Submit blocked tasks and wait for execution.
parallelizeAndWait(Function<Interval, T>, long[], long[], int[], ExecutorService, int) - Static method in class net.imglib2.algorithm.util.ParallelizeOverBlocks: Submit blocked tasks and wait for execution.
parallelizeAndWait(Function<Interval, T>, List<Interval>, ExecutorService, int) - Static method in class net.imglib2.algorithm.util.ParallelizeOverBlocks: Submit blocked tasks and wait for execution.
ParallelizeOverBlocks - Class in net.imglib2.algorithm.util
ParallelizeOverBlocks() - Constructor for class net.imglib2.algorithm.util.ParallelizeOverBlocks
Parameters() - Constructor for class net.imglib2.algorithm.math.Compute.Parameters
PartialComponent<T,C extends PartialComponent<T,C>> - Interface in net.imglib2.algorithm.componenttree: This interface is used by BuildComponentTree to build the component tree of an image.
PartialComponent.Generator<T,C extends PartialComponent<T,C>> - Interface in net.imglib2.algorithm.componenttree: Create new components.
PartialComponent.Handler<C> - Interface in net.imglib2.algorithm.componenttree: Handle completed components that are output by BuildComponentTree .
PartialDerivative - Class in net.imglib2.algorithm.gradient
PartialDerivative() - Constructor for class net.imglib2.algorithm.gradient.PartialDerivative
PassThrough - Class in net.imglib2.algorithm.math.abstractions: Does nothing: the reInit method returns a copy of the encapsulated IFunction
PassThrough(Object) - Constructor for class net.imglib2.algorithm.math.abstractions.PassThrough
periodicLine(long, int[]) - Static method in class net.imglib2.algorithm.morphology.StructuringElements: Creates a new periodic line structuring element, that will iterate over 2 × span + 1 pixels as follow:
PeriodicLineNeighborhood<T> - Class in net.imglib2.algorithm.neighborhood: A neighborhood that iterates over what is termed "Periodic lines", and best explained in Ronald Jones and Pierre Soilles publication:
PeriodicLineNeighborhood.LocalCursor - Class in net.imglib2.algorithm.neighborhood
PeriodicLineNeighborhoodCursor<T> - Class in net.imglib2.algorithm.neighborhood
PeriodicLineNeighborhoodCursor(RandomAccessibleInterval<T>, long, int[], PeriodicLineNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodCursor
PeriodicLineNeighborhoodFactory<T> - Interface in net.imglib2.algorithm.neighborhood
PeriodicLineNeighborhoodLocalizableSampler<T> - Class in net.imglib2.algorithm.neighborhood
PeriodicLineNeighborhoodLocalizableSampler(RandomAccessible<T>, long, int[], PeriodicLineNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler
PeriodicLineNeighborhoodLocalizableSampler(PeriodicLineNeighborhoodLocalizableSampler<T>) - Constructor for class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler
PeriodicLineNeighborhoodRandomAccess<T> - Class in net.imglib2.algorithm.neighborhood
PeriodicLineNeighborhoodRandomAccess(RandomAccessible<T>, long, int[], PeriodicLineNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
PeriodicLineNeighborhoodRandomAccess(RandomAccessible<T>, long, int[], PeriodicLineNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
PeriodicLineNeighborhoodUnsafe<T> - Class in net.imglib2.algorithm.neighborhood
PeriodicLineShape - Class in net.imglib2.algorithm.neighborhood: A factory for Accessibles on PeriodicLineNeighborhoods, that iterate over what is termed "Periodic lines", and is best explained in Ronald Jones and Pierre Soilles publication:
PeriodicLineShape(long, int[]) - Constructor for class net.imglib2.algorithm.neighborhood.PeriodicLineShape: Creates a new periodic line shape, that will iterate over 2 × span + 1 pixels as follow:
PeriodicLineShape.NeighborhoodsAccessible<T> - Class in net.imglib2.algorithm.neighborhood
PeriodicLineShape.NeighborhoodsIterableInterval<T> - Class in net.imglib2.algorithm.neighborhood
pickLinePeaks(RandomAccessibleInterval<T>, long) - Static method in class net.imglib2.algorithm.hough.HoughTransforms: Pick vote space peaks with a LocalExtrema.
pickLinePeaks(RandomAccessibleInterval<T>, T) - Static method in class net.imglib2.algorithm.hough.HoughTransforms: Pick vote space peaks with a LocalExtrema.
PixelIntensity(long[], long[], double, long, List) - Constructor for class net.imglib2.algorithm.labeling.Watershed.PixelIntensity
PixelList - Class in net.imglib2.algorithm.componenttree.pixellist: A singly-linked list of pixel locations stored in a RandomAccessible.
PixelList(RandomAccess<LongType>, long[]) - Constructor for class net.imglib2.algorithm.componenttree.pixellist.PixelList
PixelList(PixelList) - Constructor for class net.imglib2.algorithm.componenttree.pixellist.PixelList
PixelList.PixelListIterator - Class in net.imglib2.algorithm.componenttree.pixellist
PixelListComponent<T extends Type<T>> - Class in net.imglib2.algorithm.componenttree.pixellist: A connected component of the image thresholded at PixelListComponent.value().
PixelListComponentTree<T extends Type<T>> - Class in net.imglib2.algorithm.componenttree.pixellist: Component tree of an image stored as a tree of PixelListComponents.
PixelListIterator() - Constructor for class net.imglib2.algorithm.componenttree.pixellist.PixelList.PixelListIterator
pixelSize - Variable in class net.imglib2.algorithm.dog.DogDetection
poles - Variable in class net.imglib2.algorithm.bspline.BSplineDecomposition
poles(int) - Static method in class net.imglib2.algorithm.bspline.BSplineDecomposition: Returns the poles for the filter for a spline of a given order.
polesCi(double[]) - Static method in class net.imglib2.algorithm.bspline.BSplineDecomposition
pop(long[]) - Method in class net.imglib2.algorithm.labeling.AllConnectedComponents.PositionStack: Deprecated.
PositionStack(int) - Constructor for class net.imglib2.algorithm.labeling.AllConnectedComponents.PositionStack: Deprecated.
pow(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
Pow - Class in net.imglib2.algorithm.math
Pow(Object, Object) - Constructor for class net.imglib2.algorithm.math.Pow
Power<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
Power(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.Power
power(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
powIntPositive(double, int) - Static method in class net.imglib2.algorithm.bspline.AbstractBsplineKernel
precision(double, double) - Method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary
preferredSourceType(T) - Method in interface net.imglib2.algorithm.convolution.Convolution: What's the preferred type for the source image, when target should have the specified type?
preferredSourceType(RealType<?>) - Method in class net.imglib2.algorithm.convolution.fast_gauss.FastGaussConvolverRealType
preferredSourceType(NumericType<?>) - Method in class net.imglib2.algorithm.convolution.kernel.KernelConvolverFactory
preferredSourceType(T) - Method in class net.imglib2.algorithm.convolution.LineConvolution
preferredSourceType(T) - Method in interface net.imglib2.algorithm.convolution.LineConvolverFactory
preferredSourceType(T) - Method in class net.imglib2.algorithm.convolution.MultiDimensionConvolution
preFetch(RandomAccessible<T>, Interval, long[], ExecutorService) - Static method in interface net.imglib2.algorithm.lazy.Caches: Trigger pre-fetching of an Interval in a RandomAccessible by concurrent sampling of values at a sparse grid.
previousX - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
Print - Class in net.imglib2.algorithm.math
Print(String, Object) - Constructor for class net.imglib2.algorithm.math.Print
Printing<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
Printing(String, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.Printing
printNeighborhood(Shape, int) - Static method in class net.imglib2.algorithm.morphology.MorphologyUtils: Returns a string representation of the specified flat structuring element (given as a Shape), cast over the dimensionality specified by an EuclideanSpace.
process() - Method in interface net.imglib2.algorithm.Algorithm
process(RandomAccessible<? extends T>, RandomAccessibleInterval<? extends T>, ExecutorService, int) - Method in class net.imglib2.algorithm.convolution.AbstractMultiThreadedConvolution: Deprecated.
process(RandomAccessible<? extends T>, RandomAccessibleInterval<? extends T>) - Method in class net.imglib2.algorithm.convolution.AbstractMultiThreadedConvolution: Deprecated.
process(RandomAccessible<? extends T>, RandomAccessibleInterval<? extends T>) - Method in interface net.imglib2.algorithm.convolution.Convolution: Fills the target image, with the convolution result.
process(RandomAccessible<? extends T>, RandomAccessibleInterval<? extends T>) - Method in class net.imglib2.algorithm.convolution.LineConvolution
process(RandomAccessible<? extends T>, RandomAccessibleInterval<? extends T>) - Method in class net.imglib2.algorithm.convolution.MultiDimensionConvolution
process() - Method in class net.imglib2.algorithm.floydsteinberg.FloydSteinbergDithering
process() - Method in class net.imglib2.algorithm.integral.IntegralImg
process() - Method in class net.imglib2.algorithm.integral.ScaleAreaAveraging2d
process() - Method in class net.imglib2.algorithm.labeling.Watershed: The seeded watershed uses a pre-existing labeling of the space where the labels act as seeds for the output watershed.
process(List, RandomAccessible<T>, Interval) - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization: Refine a set of peaks to subpixel coordinates.
process() - Method in class net.imglib2.algorithm.stats.ComputeMinMax
process() - Method in class net.imglib2.algorithm.stats.Histogram
processingTime - Variable in class net.imglib2.algorithm.BenchmarkAlgorithm
processingTime - Variable in class net.imglib2.algorithm.MultiThreadedBenchmarkAlgorithm
processLine(SamplingLineIterator<T>, double[]) - Method in class net.imglib2.algorithm.gauss.AbstractGauss: Compute the current line.
processLine(SamplingLineIterator<DoubleType>, double[]) - Method in class net.imglib2.algorithm.gauss.GaussDouble: Deprecated.

Compute the current line.
processLine(SamplingLineIterator<FloatType>, double[]) - Method in class net.imglib2.algorithm.gauss.GaussFloat: Deprecated.

Compute the current line.
processLine(SamplingLineIterator<T>, double[]) - Method in class net.imglib2.algorithm.gauss.GaussNativeType: Deprecated.

Compute the current line.
PSNR - Class in net.imglib2.algorithm.metrics.imagequality: Compute the peak signal-to-noise ratio (PSNR) between a reference and a processed image.
PSNR() - Constructor for class net.imglib2.algorithm.metrics.imagequality.PSNR
push(long[]) - Method in class net.imglib2.algorithm.labeling.AllConnectedComponents.PositionStack: Deprecated.

Q

quadraticFitOffset(Localizable, RandomAccess<T>, Matrix, Matrix, RealPositionable) - Static method in class net.imglib2.algorithm.localextrema.SubpixelLocalization: Estimate subpixel offset of extremum of quadratic function fitted at p.
queue - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
queueEnd - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
queueStart - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm

R

ra - Variable in class net.imglib2.algorithm.math.execution.BlockReadingSource
ra - Variable in class net.imglib2.algorithm.math.execution.RandomAccessibleOffsetSource
radius - Variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
radius - Variable in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler
radius - Variable in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler
radius - Variable in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler
radius - Variable in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
randomAccess() - Method in class net.imglib2.algorithm.gradient.ScaleAsFunctionOfPosition
randomAccess(Interval) - Method in class net.imglib2.algorithm.gradient.ScaleAsFunctionOfPosition
randomAccess() - Method in class net.imglib2.algorithm.kdtree.VolumetricSearch
randomAccess(Interval) - Method in class net.imglib2.algorithm.kdtree.VolumetricSearch
randomAccess(Converter<RealType<?>, C>, C, O, Converter<C, O>) - Method in class net.imglib2.algorithm.math.Compute
randomAccess(C, O, Converter<C, O>) - Method in class net.imglib2.algorithm.math.Compute
randomAccess(O) - Method in class net.imglib2.algorithm.math.Compute
randomAccess() - Method in class net.imglib2.algorithm.math.Compute: Returns a RandomAccess with the same type as the first input image found.
randomAccess() - Method in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction
randomAccess(Interval) - Method in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction
randomAccess() - Method in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunctionDouble
randomAccess() - Method in class net.imglib2.algorithm.math.execution.KDTreeRadiusSource
randomAccess(Interval) - Method in class net.imglib2.algorithm.math.execution.KDTreeRadiusSource
randomAccess() - Method in class net.imglib2.algorithm.neighborhood.DiamondShape.NeighborhoodsAccessible
randomAccess(Interval) - Method in class net.imglib2.algorithm.neighborhood.DiamondShape.NeighborhoodsAccessible
randomAccess() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape.NeighborhoodsAccessible
randomAccess(Interval) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape.NeighborhoodsAccessible
randomAccess() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape.NeighborhoodsAccessible
randomAccess(Interval) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape.NeighborhoodsAccessible
randomAccess() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape.NeighborhoodsAccessible
randomAccess(Interval) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape.NeighborhoodsAccessible
randomAccess() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape.NeighborhoodsAccessible
randomAccess(Interval) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape.NeighborhoodsAccessible
randomAccess() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape.NeighborhoodsAccessible
randomAccess(Interval) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape.NeighborhoodsAccessible
randomAccess() - Method in class net.imglib2.algorithm.neighborhood.RectangleShape.NeighborhoodsAccessible
randomAccess(Interval) - Method in class net.imglib2.algorithm.neighborhood.RectangleShape.NeighborhoodsAccessible
randomAccess - Variable in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
randomAccess - Variable in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
randomAccessDouble(O, Converter<RealType<?>, O>) - Method in class net.imglib2.algorithm.math.Compute
randomAccessDouble(O) - Method in class net.imglib2.algorithm.math.Compute
randomAccessDouble() - Method in class net.imglib2.algorithm.math.Compute: Returns a RandomAccess with the same type as the first input image found.
RandomAccessibleLoader(RandomAccessible<T>) - Constructor for class net.imglib2.algorithm.lazy.Caches.RandomAccessibleLoader
RandomAccessibleOffsetSource,O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
RandomAccessibleOffsetSource(O, Converter<RealType<?>, O>, RandomAccessible, long[]) - Constructor for class net.imglib2.algorithm.math.execution.RandomAccessibleOffsetSource
RandomAccessibleOffsetSourceDirect<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
RandomAccessibleOffsetSourceDirect(O, RandomAccessible<O>, long[]) - Constructor for class net.imglib2.algorithm.math.execution.RandomAccessibleOffsetSourceDirect
RandomAccessibleSource> - Class in net.imglib2.algorithm.math
RandomAccessibleSource(RandomAccessible) - Constructor for class net.imglib2.algorithm.math.RandomAccessibleSource
RandomAccessibleSource(RandomAccessible, long[]) - Constructor for class net.imglib2.algorithm.math.RandomAccessibleSource
RandomAccessOnly - Interface in net.imglib2.algorithm.math.abstractions
RealBinMapper<T extends RealType<T>> - Class in net.imglib2.algorithm.stats: A HistogramBinMapper over RealType, using arbitrary-width histogram bins.
RealBinMapper(T, T, int) - Constructor for class net.imglib2.algorithm.stats.RealBinMapper: Creates a RealBinMapper for a histogram with the given minimum bin center, maximum bin center, and number of bins.
RealCompositeMatrix<T extends RealType<T>> - Class in net.imglib2.algorithm.linalg.matrix
RealCompositeMatrix(Composite<T>, int, int) - Constructor for class net.imglib2.algorithm.linalg.matrix.RealCompositeMatrix
RealCompositeMatrix(Composite<T>, int, int, int) - Constructor for class net.imglib2.algorithm.linalg.matrix.RealCompositeMatrix
RealCompositeSquareMatrix<T extends RealType<T>> - Class in net.imglib2.algorithm.linalg.matrix
RealCompositeSquareMatrix(Composite<T>, int) - Constructor for class net.imglib2.algorithm.linalg.matrix.RealCompositeSquareMatrix
RealCompositeSquareMatrix(Composite<T>, int, int) - Constructor for class net.imglib2.algorithm.linalg.matrix.RealCompositeSquareMatrix
RealCompositeSymmetricMatrix<T extends RealType<T>> - Class in net.imglib2.algorithm.linalg.matrix
RealCompositeSymmetricMatrix(Composite<T>, int) - Constructor for class net.imglib2.algorithm.linalg.matrix.RealCompositeSymmetricMatrix
RealCompositeSymmetricMatrix(Composite<T>, int, int) - Constructor for class net.imglib2.algorithm.linalg.matrix.RealCompositeSymmetricMatrix
realMax(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
realMax(double[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
realMax(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
realMax(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
realMax(double[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
realMax(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
realMax(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
realMax(double[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
realMax(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
realMax(int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
realMax(double[]) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
realMax(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
realMax(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
realMax(double[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
realMax(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
realMax(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
realMax(double[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
realMax(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
realMax(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
realMax(double[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
realMax(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
realMax(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
realMax(double[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
realMax(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
realMax(int) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
realMax(double[]) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
realMax(RealPositionable) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
realMax(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
realMax(double[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
realMax(RealPositionable) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
realMax(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
realMax(double[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
realMax(RealPositionable) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
realMin(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
realMin(double[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
realMin(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
realMin(int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
realMin(double[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
realMin(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
realMin(int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
realMin(double[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
realMin(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
realMin(int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
realMin(double[]) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
realMin(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
realMin(int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
realMin(double[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
realMin(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
realMin(int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
realMin(double[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
realMin(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
realMin(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
realMin(double[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
realMin(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
realMin(int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
realMin(double[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
realMin(RealPositionable) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
realMin(int) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
realMin(double[]) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
realMin(RealPositionable) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
realMin(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
realMin(double[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
realMin(RealPositionable) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
realMin(int) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
realMin(double[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
realMin(RealPositionable) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
recall(double, double) - Method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics.MetricsSummary
rectangle(int[], boolean) - Static method in class net.imglib2.algorithm.morphology.StructuringElements: Generates a symmetric, centered, rectangular flat structuring element for morphological operations.
rectangle(int[]) - Static method in class net.imglib2.algorithm.morphology.StructuringElements: Generates a symmetric, centered, rectangular flat structuring element for morphological operations.
RectangleNeighborhood<T> - Class in net.imglib2.algorithm.neighborhood
RectangleNeighborhood.LocalCursor - Class in net.imglib2.algorithm.neighborhood
RectangleNeighborhoodCursor<T> - Class in net.imglib2.algorithm.neighborhood
RectangleNeighborhoodCursor(RandomAccessibleInterval<T>, Interval, RectangleNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodCursor
RectangleNeighborhoodFactory<T> - Interface in net.imglib2.algorithm.neighborhood
RectangleNeighborhoodLocalizableSampler<T> - Class in net.imglib2.algorithm.neighborhood
RectangleNeighborhoodLocalizableSampler(RandomAccessible<T>, Interval, RectangleNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
RectangleNeighborhoodLocalizableSampler(RectangleNeighborhoodLocalizableSampler<T>) - Constructor for class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
RectangleNeighborhoodRandomAccess<T> - Class in net.imglib2.algorithm.neighborhood
RectangleNeighborhoodRandomAccess(RandomAccessible<T>, Interval, RectangleNeighborhoodFactory<T>) - Constructor for class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
RectangleNeighborhoodRandomAccess(RandomAccessible<T>, Interval, RectangleNeighborhoodFactory<T>, Interval) - Constructor for class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
RectangleNeighborhoodSkipCenter<T> - Class in net.imglib2.algorithm.neighborhood
RectangleNeighborhoodSkipCenter.LocalCursor - Class in net.imglib2.algorithm.neighborhood
RectangleNeighborhoodSkipCenterUnsafe<T> - Class in net.imglib2.algorithm.neighborhood
RectangleNeighborhoodUnsafe<T> - Class in net.imglib2.algorithm.neighborhood
RectangleShape - Class in net.imglib2.algorithm.neighborhood: A factory for Accessibles on rectangular neighboorhoods.
RectangleShape(int, boolean) - Constructor for class net.imglib2.algorithm.neighborhood.RectangleShape
RectangleShape.NeighborhoodsAccessible<T> - Class in net.imglib2.algorithm.neighborhood
RectangleShape.NeighborhoodsIterableInterval<T> - Class in net.imglib2.algorithm.neighborhood
recursion1d(RandomAccess<T>, RandomAccess<S>, double, double, S, long, int) - Method in class net.imglib2.algorithm.bspline.BSplineDecomposition: Compute a 1d forward-backward recursion to compute bspline coefficients.
recursion1dUnpadded(RandomAccess<T>, RandomAccess<S>, S, long, int, double, int, double[], double[]) - Static method in class net.imglib2.algorithm.bspline.BSplineDecomposition: Compute a 1d forward-backward recursion to compute bspline coefficients.
RefinedPeak - Class in net.imglib2.algorithm.localextrema: A RealPoint representing a sub-pixel-localized peak.
RefinedPeak(P, RealLocalizable, double, boolean) - Constructor for class net.imglib2.algorithm.localextrema.RefinedPeak
refinePeaks(List, RandomAccessible<T>, Interval, boolean, int, boolean, float, boolean[], int) - Static method in class net.imglib2.algorithm.localextrema.SubpixelLocalization: Refine a set of peaks to subpixel coordinates.
refinePeaks(List, RandomAccessible<T>, Interval, boolean, int, boolean, float, boolean[], int, ExecutorService) - Static method in class net.imglib2.algorithm.localextrema.SubpixelLocalization: Refine a set of peaks to subpixel coordinates.
refinePeaks(List, RandomAccessible<T>, Interval, boolean, int, boolean, float, boolean[]) - Static method in class net.imglib2.algorithm.localextrema.SubpixelLocalization: Refine a set of peaks to subpixel coordinates.
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in interface net.imglib2.algorithm.math.abstractions.IFunction
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.abstractions.PassThrough
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Add
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.AndLogical
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.BlockReadSource
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Div
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Equal
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Exp
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.GreaterThan
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.If
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.ImgSource
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.KDTreeSource
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.LessThan
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Let
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Log
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Max
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Min
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Minus
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Mul
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.NotEqual
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.NotLogical
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.NumberSource
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.OffsetSource
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.OrLogical
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Pow
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Print
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.RandomAccessibleSource
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Sub
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.Var
reInit(O, Map<String, LetBinding<O>>, Converter<RealType<?>, O>, Map<Variable<O>, OFunction<O>>) - Method in class net.imglib2.algorithm.math.XorLogical
relabel(RandomAccessibleInterval, RandomAccessibleInterval<L>, UnionFind, ToLongBiFunction<Localizable, L>, LongUnaryOperator) - Static method in interface net.imglib2.algorithm.util.unionfind.UnionFind: Relabel all mask pixels into the representative id of their containing sets as defined by unionFind.
relabel(RandomAccessibleInterval<L>, ToLongBiFunction<Localizable, L>, LongUnaryOperator) - Method in interface net.imglib2.algorithm.util.unionfind.UnionFind: Relabel all pixels into the representative id of their containing sets as defined by unionFind.
relabel(RandomAccessibleInterval<L>) - Method in interface net.imglib2.algorithm.util.unionfind.UnionFind: Relabel all pixels into the representative id of their containing sets as defined by unionFind.
remove() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelList.PixelListIterator
Remove - Class in net.imglib2.algorithm.morphology.table2d: Removes pixels that are otherwise surrounded by others (4 connected).
Remove() - Constructor for class net.imglib2.algorithm.morphology.table2d.Remove
remove(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Remove
remove(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Remove
remove() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodCursor
remove() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor
remove() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
remove() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
remove(String) - Static method in class net.imglib2.algorithm.util.Singleton: Remove and retrieve a named singleton instance.
requiredSourceInterval(Interval) - Method in interface net.imglib2.algorithm.convolution.Convolution: Returns the required size for source image, to calculate the given target interval.
requiredSourceInterval(Interval) - Method in class net.imglib2.algorithm.convolution.LineConvolution
requiredSourceInterval(Interval) - Method in class net.imglib2.algorithm.convolution.MultiDimensionConvolution
reset() - Method in class net.imglib2.algorithm.gauss.AbstractLineIterator: Deprecated.
reset() - Method in class net.imglib2.algorithm.math.execution.FunctionCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood.LocalCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood.LocalCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood.LocalCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood.LocalCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood.LocalCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood.LocalCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodCursor
reset() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter.LocalCursor
reset() - Method in class net.imglib2.algorithm.region.CircleCursor
reset() - Method in class net.imglib2.algorithm.region.EllipseCursor
reset() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
reset() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
reset() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor2: Deprecated.
reset() - Method in class net.imglib2.algorithm.stats.Histogram: Resets the histogram array and the Cursor.
returnInvalidPeaks - Variable in class net.imglib2.algorithm.localextrema.SubpixelLocalization
ri - Variable in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor: The current radius in each dimension we are at.
root() - Method in interface net.imglib2.algorithm.componenttree.ComponentTree: Get the root component.
root() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelListComponentTree: Get the root component.
root() - Method in interface net.imglib2.algorithm.tree.Tree: Get the root component.
roots() - Method in interface net.imglib2.algorithm.componenttree.ComponentForest: Get the set of root nodes of this component forest.
roots() - Method in class net.imglib2.algorithm.componenttree.mser.MserTree: Get the set of roots of the MSER tree (respectively forest...).
roots() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelListComponentTree: Get the root component.
roots() - Method in interface net.imglib2.algorithm.tree.Forest: Get the set of root nodes of this component forest.
rowAndColumnToLinear(long, long) - Method in class net.imglib2.algorithm.linalg.matrix.RealCompositeMatrix
rowAndColumnToLinear(long, long) - Method in class net.imglib2.algorithm.linalg.matrix.RealCompositeSymmetricMatrix
run() - Method in class net.imglib2.algorithm.convolution.fast_gauss.FastGaussConvolverRealType.MyConvolver
run() - Method in class net.imglib2.algorithm.convolution.kernel.ConvolverNativeType
run() - Method in class net.imglib2.algorithm.convolution.kernel.ConvolverNumericType
run() - Method in class net.imglib2.algorithm.convolution.kernel.DoubleConvolverRealType
run() - Method in class net.imglib2.algorithm.convolution.kernel.FloatConvolverRealType
run() - Method in class net.imglib2.algorithm.gauss3.ConvolverNativeType: Deprecated.
run() - Method in class net.imglib2.algorithm.gauss3.ConvolverNativeTypeBuffered: Deprecated.
run() - Method in class net.imglib2.algorithm.gauss3.ConvolverNumericType: Deprecated.
run() - Method in class net.imglib2.algorithm.gauss3.DoubleConvolverRealType: Deprecated.
run() - Method in class net.imglib2.algorithm.gauss3.DoubleConvolverRealTypeBuffered: Deprecated.
run() - Method in class net.imglib2.algorithm.gauss3.FloatConvolverRealType: Deprecated.
run() - Method in class net.imglib2.algorithm.gauss3.FloatConvolverRealTypeBuffered: Deprecated.
runAverageOverTime(RandomAccessibleInterval, RandomAccessibleInterval<J>, double) - Static method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics: Compute the metrics score per time-point and return the aggregated scores.
runSingle(RandomAccessibleInterval, RandomAccessibleInterval<J>, double) - Static method in class net.imglib2.algorithm.metrics.segmentation.MultiMetrics: Compute the metrics scores between ground-truth and prediction images.
runSingle(RandomAccessibleInterval, RandomAccessibleInterval<J>) - Static method in class net.imglib2.algorithm.metrics.segmentation.SEGMetrics

S

S - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
s - Variable in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor: The remaining number of steps in each dimension we still have to go.
sampler - Variable in class net.imglib2.algorithm.math.execution.FunctionCursor
SamplingLineIterator<T> - Class in net.imglib2.algorithm.gauss: Deprecated.
SamplingLineIterator(int, long, RandomAccess<T>, Img<T>, T, T) - Constructor for class net.imglib2.algorithm.gauss.SamplingLineIterator: Deprecated.

Make a new SamplingLineIterator which iterates a 1d line of a certain length and is used as the input for the convolution operation
ScaleAreaAveraging2d<T extends RealType<T>,R extends RealType<R>> - Class in net.imglib2.algorithm.integral: TODO
ScaleAreaAveraging2d(Img<T>, R, long[]) - Constructor for class net.imglib2.algorithm.integral.ScaleAreaAveraging2d: Deprecated.
ScaleAreaAveraging2d(RandomAccessibleInterval<T>, R, long[], ImgFactory<R>) - Constructor for class net.imglib2.algorithm.integral.ScaleAreaAveraging2d
ScaleAreaAveraging2d(Img<T>, R, Converter<T, R>, long[]) - Constructor for class net.imglib2.algorithm.integral.ScaleAreaAveraging2d: Deprecated.
ScaleAreaAveraging2d(RandomAccessibleInterval<T>, R, Converter<T, R>, long[], ImgFactory<R>) - Constructor for class net.imglib2.algorithm.integral.ScaleAreaAveraging2d
ScaleAsFunctionOfPosition<T extends Type<T> & MulFloatingPoint> - Class in net.imglib2.algorithm.gradient
ScaleAsFunctionOfPosition(RandomAccessibleInterval<T>, ToDoubleFunction<Localizable>) - Constructor for class net.imglib2.algorithm.gradient.ScaleAsFunctionOfPosition
ScaleAsFunctionOfPosition.ScaledRandomAccess<T extends Type<T> & MulFloatingPoint> - Class in net.imglib2.algorithm.gradient
scaled - Variable in class net.imglib2.algorithm.integral.ScaleAreaAveraging2d
ScaledRandomAccess(RandomAccess<T>, ToDoubleFunction<Localizable>) - Constructor for class net.imglib2.algorithm.gradient.ScaleAsFunctionOfPosition.ScaledRandomAccess
scaleHessianMatrix(RandomAccessibleInterval<T>, double[]) - Static method in class net.imglib2.algorithm.gradient.HessianMatrix: The HessianMatrix.calculateMatrix(net.imglib2.RandomAccessible<T>, net.imglib2.RandomAccessibleInterval, net.imglib2.RandomAccessibleInterval, net.imglib2.RandomAccessibleInterval, net.imglib2.outofbounds.OutOfBoundsFactory<U, ? super net.imglib2.RandomAccessibleInterval>, double...) methods assume that the voxels of the input data are isotropic.
score() - Method in class net.imglib2.algorithm.componenttree.mser.Mser: The MSER score is computed as |R_i - R_{i-\Delta}| / |R_i|.
scrap - Variable in class net.imglib2.algorithm.math.abstractions.AUnaryFunction
scrap - Variable in class net.imglib2.algorithm.math.execution.BlockReadingSource
scrap - Variable in class net.imglib2.algorithm.math.execution.RandomAccessibleOffsetSource
scrapC - Variable in class net.imglib2.algorithm.math.execution.FunctionCursor
scrapO - Variable in class net.imglib2.algorithm.math.execution.FunctionCursor
seeds - Variable in class net.imglib2.algorithm.labeling.Watershed
SEGMetrics - Class in net.imglib2.algorithm.metrics.segmentation: The SEG metrics computes the IoU metrics between ground-truth labels and the prediction labels that overlap with a percentage greater than 0.5.
SEGMetrics() - Constructor for class net.imglib2.algorithm.metrics.segmentation.SEGMetrics
SeparableKernelConvolution - Class in net.imglib2.algorithm.convolution.kernel: Convolution with a customizable separable kernel.
SeparableKernelConvolution() - Constructor for class net.imglib2.algorithm.convolution.kernel.SeparableKernelConvolution
SeparableSymmetricConvolution - Class in net.imglib2.algorithm.gauss3: Deprecated.
Use SeparableKernelConvolution instead. Convolution with a separable symmetric kernel.
SeparableSymmetricConvolution() - Constructor for class net.imglib2.algorithm.gauss3.SeparableSymmetricConvolution: Deprecated.
set(T) - Method in class net.imglib2.algorithm.gauss.WritableLineIterator: Deprecated.

Sets the possibly converted value at the current location
set(RandomAccessible<T>, Localizable, long, T) - Static method in class net.imglib2.algorithm.region.Circles: Writes a circle in the target RandomAccessible.
set(RandomAccessible<T>, Localizable, long, int, int, T) - Static method in class net.imglib2.algorithm.region.Circles: Writes a circle in the target RandomAccessible.
set(RandomAccessible<T>, Localizable, long, long, T) - Static method in class net.imglib2.algorithm.region.Ellipses: Writes an ellipse in the target RandomAccessible.
set(RandomAccessible<T>, Localizable, long, long, int, int, T) - Static method in class net.imglib2.algorithm.region.Ellipses: Writes an ellipse in the target RandomAccessible.
set(long, int) - Method in interface net.imglib2.algorithm.util.Grids.SetForDimension
setAllowedToMoveInDim(boolean[]) - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization
setAllowMaximaTolerance(boolean) - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization
setCanMoveOutside(boolean) - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization
setCount() - Method in class net.imglib2.algorithm.util.unionfind.IntArrayRankedUnionFind
setCount() - Method in class net.imglib2.algorithm.util.unionfind.IntArrayUnionFind
setCount() - Method in class net.imglib2.algorithm.util.unionfind.LongHashMapUnionFind
setCount() - Method in interface net.imglib2.algorithm.util.unionfind.UnionFind
setData(Composite<T>) - Method in class net.imglib2.algorithm.linalg.matrix.RealCompositeMatrix
setExecutor(ExecutorService) - Method in class net.imglib2.algorithm.convolution.AbstractMultiThreadedConvolution: Deprecated.
setExecutor(ExecutorService) - Method in interface net.imglib2.algorithm.convolution.Convolution: Deprecated.
setExecutor(ExecutorService) - Method in class net.imglib2.algorithm.convolution.LineConvolution: Deprecated.
setExecutor(ExecutorService) - Method in class net.imglib2.algorithm.convolution.MultiDimensionConvolution: Deprecated.
setExecutorService(ExecutorService) - Method in class net.imglib2.algorithm.dog.DogDetection
setImageSigma(double) - Method in class net.imglib2.algorithm.dog.DogDetection
setIntensityImage(RandomAccessibleInterval<T>) - Method in class net.imglib2.algorithm.labeling.Watershed: Provide the intensity image to be watershedded.
setKeepDoGImg(boolean) - Method in class net.imglib2.algorithm.dog.DogDetection
setMaximaTolerance(float) - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization
setMaxNumMoves(int) - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization
setMinf(double) - Method in class net.imglib2.algorithm.dog.DogDetection
setMinPeakValue(double) - Method in class net.imglib2.algorithm.dog.DogDetection
setNormalizeMinPeakValue(boolean) - Method in class net.imglib2.algorithm.dog.DogDetection
setNumThreads(int) - Method in class net.imglib2.algorithm.dog.DogDetection
setNumThreads(int) - Method in class net.imglib2.algorithm.gauss.AbstractGauss
setNumThreads(int) - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization
setNumThreads() - Method in interface net.imglib2.algorithm.MultiThreaded: Sets the number of threads to the amount of processors available
setNumThreads(int) - Method in interface net.imglib2.algorithm.MultiThreaded: Sets the number of threads
setNumThreads() - Method in class net.imglib2.algorithm.MultiThreadedAlgorithm
setNumThreads(int) - Method in class net.imglib2.algorithm.MultiThreadedAlgorithm
setNumThreads() - Method in class net.imglib2.algorithm.stats.ComputeMinMax
setNumThreads(int) - Method in class net.imglib2.algorithm.stats.ComputeMinMax
setOutputDimensions(long, long) - Method in class net.imglib2.algorithm.integral.ScaleAreaAveraging2d: Set the desired dimensions of the scaled image obtainable after invoking ScaleAreaAveraging2d.process() via ScaleAreaAveraging2d.getResult().
setOutputLabeling(Labeling<L>) - Method in class net.imglib2.algorithm.labeling.Watershed: Set the output labeling where the results will be stored.
setPadded(boolean) - Method in class net.imglib2.algorithm.bspline.BSplineDecomposition
setPosition(Localizable) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
setPosition(int[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
setPosition(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
setPosition(int, int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
setPosition(long, int) - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodRandomAccess
setPosition(Localizable) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
setPosition(int[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
setPosition(long[]) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
setPosition(int, int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
setPosition(long, int) - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodRandomAccess
setPosition(Localizable) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
setPosition(int[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
setPosition(long[]) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
setPosition(int, int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
setPosition(long, int) - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodRandomAccess
setPosition(Localizable) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
setPosition(int[]) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
setPosition(long[]) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
setPosition(int, int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
setPosition(long, int) - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhoodRandomAccess
setPosition(Localizable) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
setPosition(int[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
setPosition(long[]) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
setPosition(int, int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
setPosition(long, int) - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodRandomAccess
setPosition(Localizable) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
setPosition(int[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
setPosition(long[]) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
setPosition(int, int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
setPosition(long, int) - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodRandomAccess
setPosition(Localizable) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
setPosition(int[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
setPosition(long[]) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
setPosition(int, int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
setPosition(long, int) - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodRandomAccess
setReturnInvalidPeaks(boolean) - Method in class net.imglib2.algorithm.localextrema.SubpixelLocalization
setSeeds(Labeling<L>) - Method in class net.imglib2.algorithm.labeling.Watershed: Provide the seeds that mark the watersheds.
setStructuringElement(long[][]) - Method in class net.imglib2.algorithm.labeling.Watershed: Set the structuring element that defines the connectivity
setTargetInterval(Interval) - Method in interface net.imglib2.algorithm.blocks.BlockProcessor
setTargetInterval(long[], int[]) - Method in interface net.imglib2.algorithm.blocks.BlockProcessor
setValue(T) - Method in interface net.imglib2.algorithm.componenttree.PartialComponent: Set the threshold value (e.g., grey-level) for this component.
shape - Variable in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorEven
shape - Variable in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorOdd
shape - Variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
Shape - Interface in net.imglib2.algorithm.neighborhood: A factory for Accessibles on Neighborhoods.
shapeFromOrder(int) - Static method in interface net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolator: Return a RectangleShape This is necessary because rectangles always have an extents equal to an odd number of pixels.
shrink(RandomAccessibleInterval<T>, long[]) - Static method in class net.imglib2.algorithm.localextrema.LocalExtrema: Shrink a RandomAccessibleInterval symmetrically, i.e.
sigmaLarger - Variable in class net.imglib2.algorithm.dog.DogDetection
sigmaSmaller - Variable in class net.imglib2.algorithm.dog.DogDetection
signs - Variable in class net.imglib2.algorithm.math.execution.BlockReadingSource
signsArray(RandomAccessible<?>) - Static method in class net.imglib2.algorithm.math.BlockReadSource
SimpleMultiThreading - Class in net.imglib2.multithreading: Deprecated.
SimpleMultiThreading() - Constructor for class net.imglib2.multithreading.SimpleMultiThreading: Deprecated.
Singleton - Class in net.imglib2.algorithm.util: Manage named singleton instances.
Singleton.ThrowingSupplier<T,E extends Exception> - Interface in net.imglib2.algorithm.util
size() - Method in interface net.imglib2.algorithm.componenttree.Component: Get the number of pixels in the connected component.
size() - Method in class net.imglib2.algorithm.componenttree.mser.Mser: Get the number of pixels in the extremal region.
size() - Method in class net.imglib2.algorithm.componenttree.mser.MserTree: Get number of detected MSERs.
size() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelList: Get the size of the list.
size() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelListComponent: Get the number of pixels in the extremal region.
size() - Method in class net.imglib2.algorithm.convolution.kernel.Kernel1D
size - Variable in class net.imglib2.algorithm.integral.ScaleAreaAveraging2d
size() - Method in class net.imglib2.algorithm.math.execution.IterableRandomAccessibleFunction
size() - Method in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood
size() - Method in class net.imglib2.algorithm.neighborhood.DiamondShape.NeighborhoodsIterableInterval
size() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhood
size() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape.NeighborhoodsIterableInterval
size() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhood
size() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape.NeighborhoodsIterableInterval
size() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereNeighborhood
size() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape.NeighborhoodsIterableInterval
size() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhood
size() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape.NeighborhoodsIterableInterval
size() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhood
size() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape.NeighborhoodsIterableInterval
size() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhood
size() - Method in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodSkipCenter
size() - Method in class net.imglib2.algorithm.neighborhood.RectangleShape.NeighborhoodsIterableInterval
size() - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
size() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
size() - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
size() - Method in class net.imglib2.algorithm.util.unionfind.IntArrayRankedUnionFind
size() - Method in class net.imglib2.algorithm.util.unionfind.IntArrayUnionFind
size() - Method in class net.imglib2.algorithm.util.unionfind.LongHashMapUnionFind
size() - Method in interface net.imglib2.algorithm.util.unionfind.UnionFind
slack - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
slackX - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
source(RandomAccessible<T>) - Static method in class net.imglib2.algorithm.math.ImgMath
source - Variable in class net.imglib2.algorithm.neighborhood.DiamondNeighborhood.LocalCursor
source - Variable in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler
source - Variable in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler
source - Variable in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler
source - Variable in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler
source - Variable in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler
source - Variable in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler
source - Variable in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
SourceInterval - Interface in net.imglib2.algorithm.math.abstractions
sourceInterval - Variable in class net.imglib2.algorithm.neighborhood.DiamondNeighborhoodLocalizableSampler
sourceInterval - Variable in class net.imglib2.algorithm.neighborhood.DiamondTipsNeighborhoodLocalizableSampler
sourceInterval - Variable in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler
sourceInterval - Variable in class net.imglib2.algorithm.neighborhood.HypersphereNeighborhoodLocalizableSampler
sourceInterval - Variable in class net.imglib2.algorithm.neighborhood.PairOfPointsNeighborhoodLocalizableSampler
sourceInterval - Variable in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler
sourceInterval - Variable in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
span - Variable in class net.imglib2.algorithm.neighborhood.HorizontalLineNeighborhoodLocalizableSampler
span - Variable in class net.imglib2.algorithm.neighborhood.PeriodicLineNeighborhoodLocalizableSampler
span - Variable in class net.imglib2.algorithm.neighborhood.RectangleNeighborhoodLocalizableSampler
split(HyperPlane) - Method in class net.imglib2.algorithm.kdtree.SplitHyperPlaneKDTree
split(double[]) - Method in class net.imglib2.algorithm.kdtree.SplitHyperPlaneKDTree
SplitHyperPlaneKDTree<T> - Class in net.imglib2.algorithm.kdtree: Partition nodes in a KDTree into disjoint sets of nodes that are above and below a given hyperplane, respectively.
SplitHyperPlaneKDTree(KDTree<T>) - Constructor for class net.imglib2.algorithm.kdtree.SplitHyperPlaneKDTree
Spur - Class in net.imglib2.algorithm.morphology.table2d: Removes spur pixels, i.e., pixels that have exactly one 8-connected neighbor.
Spur() - Constructor for class net.imglib2.algorithm.morphology.table2d.Spur
spur(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Spur
spur(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Spur
SQRT3 - Static variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
square(int) - Static method in interface net.imglib2.algorithm.linalg.eigen.EigenValues
square(int, int, boolean) - Static method in class net.imglib2.algorithm.morphology.StructuringElements: Generates a centered square flat structuring element for morphological operations.
square(int, int) - Static method in class net.imglib2.algorithm.morphology.StructuringElements: Generates a centered square flat structuring element for morphological operations.
square2D() - Static method in interface net.imglib2.algorithm.linalg.eigen.EigenValues
SSIM - Class in net.imglib2.algorithm.metrics.imagequality: Compute the structural similarity index measure (SSIM) between a reference and a processed image.
SSIM() - Constructor for class net.imglib2.algorithm.metrics.imagequality.SSIM
start(Thread[]) - Static method in class net.imglib2.multithreading.SimpleMultiThreading: Deprecated.
startAndJoin(Thread[]) - Static method in class net.imglib2.multithreading.SimpleMultiThreading: Deprecated.
startBreadthFirstSearch(int) - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
startPosition - Variable in class net.imglib2.multithreading.Chunk: Deprecated.
startTask(Runnable) - Static method in class net.imglib2.multithreading.SimpleMultiThreading: Deprecated.
startTask(Runnable, int) - Static method in class net.imglib2.multithreading.SimpleMultiThreading: Deprecated.
stream() - Static method in enum net.imglib2.algorithm.metrics.segmentation.MultiMetrics.Metrics: Return a stream of the available metrics.
StructuringElements - Class in net.imglib2.algorithm.morphology: A collection of static utilities to facilitate the creation of morphological structuring elements.
StructuringElements() - Constructor for class net.imglib2.algorithm.morphology.StructuringElements
sub(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
sub(Object...) - Static method in class net.imglib2.algorithm.math.ImgMath
Sub - Class in net.imglib2.algorithm.math
Sub(Object, Object) - Constructor for class net.imglib2.algorithm.math.Sub
Sub(Object...) - Constructor for class net.imglib2.algorithm.math.Sub
SubpixelEdgelDetection - Class in net.imglib2.algorithm.edge: Compute the set of sub-pixel edgels for the input image.
SubpixelEdgelDetection() - Constructor for class net.imglib2.algorithm.edge.SubpixelEdgelDetection
SubpixelLocalization> - Class in net.imglib2.algorithm.localextrema: Refine a set of peaks to subpixel coordinates.
SubpixelLocalization(int) - Constructor for class net.imglib2.algorithm.localextrema.SubpixelLocalization
Subtraction<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
Subtraction(O, OFunction<O>, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.Subtraction
SubtractNorm<A extends NumericType<A>> - Class in net.imglib2.algorithm.function: TODO
SubtractNorm(A) - Constructor for class net.imglib2.algorithm.function.SubtractNorm
SubtractNormReal<A extends RealType<A>,B extends RealType,C extends RealType<C>> - Class in net.imglib2.algorithm.function: TODO
SubtractNormReal(double) - Constructor for class net.imglib2.algorithm.function.SubtractNormReal
SubtractReal<A extends RealType<A>,B extends RealType,C extends RealType<C>> - Class in net.imglib2.algorithm.function: TODO
SubtractReal() - Constructor for class net.imglib2.algorithm.function.SubtractReal
supplyTo(PhysicalStore<Double>) - Method in class net.imglib2.algorithm.linalg.matrix.RealCompositeMatrix
symmetric(double...) - Static method in class net.imglib2.algorithm.convolution.kernel.Kernel1D: Creates a one-dimensional symmetric convolution kernel.
symmetric(double[][]) - Static method in class net.imglib2.algorithm.convolution.kernel.Kernel1D: Similar to Kernel1D.symmetric(double[]) but creates an array of one-dimensional convolution kernels.
symmetric(int) - Static method in interface net.imglib2.algorithm.linalg.eigen.EigenValues
symmetric2D() - Static method in interface net.imglib2.algorithm.linalg.eigen.EigenValues

T

T - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
TensorEigenValues - Class in net.imglib2.algorithm.linalg.eigen
TensorEigenValues() - Constructor for class net.imglib2.algorithm.linalg.eigen.TensorEigenValues
THEN(Object) - Static method in class net.imglib2.algorithm.math.ImgMath
Then - Class in net.imglib2.algorithm.math: A class that exists merely for coding readability.
Then(Object) - Constructor for class net.imglib2.algorithm.math.Then
Thicken - Class in net.imglib2.algorithm.morphology.table2d: Dilates the exteriors of objects where that dilation does not 8-connect the object with another.
Thicken() - Constructor for class net.imglib2.algorithm.morphology.table2d.Thicken
thicken(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Thicken
thicken(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Thicken
Thin - Class in net.imglib2.algorithm.morphology.table2d: Thin lines preserving the Euler number using the thinning algorithm # 1 described in Guo, "Parallel Thinning with Two Subiteration Algorithms", Communications of the ACM, Vol 32 #3, page 359.
Thin() - Constructor for class net.imglib2.algorithm.morphology.table2d.Thin
thin(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Thin
thin(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Thin
Thin1 - Class in net.imglib2.algorithm.morphology.table2d: Helper class for Thin.
Thin1() - Constructor for class net.imglib2.algorithm.morphology.table2d.Thin1
thin1(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Thin1
thin1(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Thin1
Thin2 - Class in net.imglib2.algorithm.morphology.table2d: Helper class for Thin.
Thin2() - Constructor for class net.imglib2.algorithm.morphology.table2d.Thin2
thin2(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Thin2
thin2(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Thin2
threadHaltUnClean() - Static method in class net.imglib2.multithreading.SimpleMultiThreading: Deprecated.
threadSafe() - Method in interface net.imglib2.algorithm.blocks.BlockSupplier: Get a thread-safe version of this BlockSupplier.
threadSafe() - Method in class net.imglib2.algorithm.blocks.DefaultUnaryBlockOperator
threadSafe() - Method in interface net.imglib2.algorithm.blocks.UnaryBlockOperator: Get a thread-safe version of this UnaryBlockOperator.
threadWait(long) - Static method in class net.imglib2.multithreading.SimpleMultiThreading: Deprecated.
threshold(Img<T>, T, boolean, int) - Static method in class net.imglib2.algorithm.binary.Thresholder: Returns a new boolean Img generated by thresholding the values of the source image.
Thresholder - Class in net.imglib2.algorithm.binary: Collection of static utilities meant to generate BitType images from Comparable images.
Thresholder() - Constructor for class net.imglib2.algorithm.binary.Thresholder
tmp - Variable in class net.imglib2.algorithm.math.execution.BlockReadingSource
tmpCoefStorage - Variable in class net.imglib2.algorithm.bspline.BSplineDecomposition
toDouble(double, Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with double precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary
toDouble(double[], Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with double precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary
toDouble(double, Img<T>, OutOfBoundsFactory<DoubleType, RandomAccessibleInterval<DoubleType>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with double precision on an entire Img
toDouble(double[], Img<T>, OutOfBoundsFactory<DoubleType, RandomAccessibleInterval<DoubleType>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with double precision on an entire Img
toFloat(double, Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with float precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary
toFloat(double[], Img<T>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with float precision on an entire Img using the OutOfBoundsMirrorFactory with single boundary
toFloat(double, Img<T>, OutOfBoundsFactory<FloatType, RandomAccessibleInterval<FloatType>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with float precision on an entire Img
toFloat(double[], Img<T>, OutOfBoundsFactory<FloatType, RandomAccessibleInterval<FloatType>>) - Static method in class net.imglib2.algorithm.gauss.Gauss: Deprecated.

Computes a Gaussian convolution with float precision on an entire Img
tolerance - Variable in class net.imglib2.algorithm.bspline.BSplineDecomposition
TopHat - Class in net.imglib2.algorithm.morphology: White top-hat transform for ImgLib2.
topHat(Img<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.TopHat: Performs the top-hat (white top-hat) morphological operation, on a RealType Img using a list of Shapes as a flat structuring element.
topHat(Img<T>, List<? extends Shape>, T, T, int) - Static method in class net.imglib2.algorithm.morphology.TopHat: Performs the top-hat (white top-hat) morphological operation, using a list of Shapes as a flat structuring element.
topHat(Img<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.TopHat: Performs the top-hat (white top-hat) morphological operation, on a RealType Img using a Shape as a flat structuring element.
topHat(Img<T>, Shape, T, T, int) - Static method in class net.imglib2.algorithm.morphology.TopHat: Performs the top-hat (white top-hat) morphological operation, using a Shape as a flat structuring element.
topHat(RandomAccessible<T>, IterableInterval<T>, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.TopHat: Performs the top-hat (white top-hat) morphological operation on a RealType source RandomAccessible, using a list of Shapes as a structuring element, and writes the result on a specified target which must be an IterableInterval.
topHat(RandomAccessible<T>, IterableInterval<T>, List<? extends Shape>, T, T, int) - Static method in class net.imglib2.algorithm.morphology.TopHat: Performs the top-hat (white top-hat) morphological operation on a source RandomAccessible, using a list of Shapes as a structuring element, and writes the result on a specified target which must be an IterableInterval.
topHat(RandomAccessible<T>, IterableInterval<T>, Shape, int) - Static method in class net.imglib2.algorithm.morphology.TopHat: Performs the top-hat (white top-hat) morphological operation on a RealType source RandomAccessible, using a Shape as a structuring element, and writes the result on a specified target which must be an IterableInterval.
topHat(RandomAccessible<T>, IterableInterval<T>, Shape, T, T, int) - Static method in class net.imglib2.algorithm.morphology.TopHat: Performs the top-hat (white top-hat) morphological operation on a source RandomAccessible, using a Shape as a structuring element, and writes the result on a specified target which must be an IterableInterval.
topHatInPlace(RandomAccessible<T>, Interval, List<? extends Shape>, int) - Static method in class net.imglib2.algorithm.morphology.TopHat: Performs the top-hat (white top-hat) morphological operation, on a RealType Img using a list of Shapes as a flat structuring element.
topHatInPlace(RandomAccessible<T>, Interval, List<? extends Shape>, T, T, int) - Static method in class net.imglib2.algorithm.morphology.TopHat: Performs the top-hat (white top-hat) morphological operation, using a list of Shapes as a flat structuring element.
topHatInPlace(RandomAccessible<T>, Interval, Shape, int) - Static method in class net.imglib2.algorithm.morphology.TopHat: Performs the top-hat (white top-hat) morphological operation, on a RealType Img using a Shape as a flat structuring element.
topHatInPlace(RandomAccessible<T>, Interval, Shape, T, T, int) - Static method in class net.imglib2.algorithm.morphology.TopHat: Performs the top-hat (white top-hat) morphological operation, using a Shape as a flat structuring element.
toString() - Method in class net.imglib2.algorithm.bspline.BSplineDecomposition
toString() - Method in class net.imglib2.algorithm.edge.Edgel
toString() - Method in class net.imglib2.algorithm.neighborhood.CenteredRectangleShape
toString() - Method in class net.imglib2.algorithm.neighborhood.DiamondShape
toString() - Method in class net.imglib2.algorithm.neighborhood.DiamondTipsShape
toString() - Method in class net.imglib2.algorithm.neighborhood.GeneralRectangleShape
toString() - Method in class net.imglib2.algorithm.neighborhood.HorizontalLineShape
toString() - Method in class net.imglib2.algorithm.neighborhood.HyperSphereShape
toString() - Method in class net.imglib2.algorithm.neighborhood.PairOfPointsShape
toString() - Method in class net.imglib2.algorithm.neighborhood.PeriodicLineShape
toString() - Method in class net.imglib2.algorithm.neighborhood.RectangleShape
toString() - Method in class net.imglib2.algorithm.region.EllipseCursor
Transform - Class in net.imglib2.algorithm.blocks.transform: Affine transform in 2D/3D with n-linear or nearest-neighbor interpolation.
Transform() - Constructor for class net.imglib2.algorithm.blocks.transform.Transform
transform(ConvexPolytope, AffineGet) - Static method in class net.imglib2.algorithm.kdtree.ConvexPolytope: Apply an affine transformation to a HyperPlane.
transform(HyperPlane, AffineGet) - Static method in class net.imglib2.algorithm.kdtree.HyperPlane: Apply an affine transformation to a HyperPlane.
transform(RandomAccessibleInterval<T>, DistanceTransform.DISTANCE_TYPE, double...) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create distance transforms of sampled functions on source using squared Euclidian (L2) or L1 distance.
transform(RandomAccessibleInterval<T>, DistanceTransform.DISTANCE_TYPE, ExecutorService, int, double...) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create distance transforms of sampled functions on source using squared Euclidian (L2) or L1 distance.
transform(RandomAccessible<T>, RandomAccessibleInterval, DistanceTransform.DISTANCE_TYPE, double...) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create distance transforms of sampled functions on source using squared Euclidian (L2) or L1 distance.
transform(RandomAccessible<T>, RandomAccessibleInterval, DistanceTransform.DISTANCE_TYPE, ExecutorService, int, double...) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create distance transforms of sampled functions on source using squared Euclidian (L2) or L1 distance.
transform(RandomAccessible<T>, RandomAccessibleInterval, RandomAccessibleInterval<V>, DistanceTransform.DISTANCE_TYPE, double...) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create distance transforms of sampled functions on source using squared Euclidian (L2) or L1 distance.
transform(RandomAccessible<T>, RandomAccessibleInterval, RandomAccessibleInterval<V>, DistanceTransform.DISTANCE_TYPE, ExecutorService, int, double...) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create distance transforms of sampled functions on source using squared Euclidian (L2) or L1 distance.
transform(RandomAccessibleInterval<T>, Distance) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create distance transforms of sampled functions on source using arbitrary Distance d.
transform(RandomAccessibleInterval<T>, Distance, ExecutorService, int) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create distance transforms of sampled functions on source using arbitrary Distance d.
transform(RandomAccessible<T>, RandomAccessibleInterval, Distance) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create distance transforms of sampled functions on source using arbitrary Distance d.
transform(RandomAccessible<T>, RandomAccessibleInterval, Distance, ExecutorService, int) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create distance transforms of sampled functions on source using arbitrary Distance d.
transform(RandomAccessible<T>, RandomAccessibleInterval, RandomAccessibleInterval<V>, Distance) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create distance transforms of sampled functions on source using arbitrary Distance d.
transform(RandomAccessible<T>, RandomAccessibleInterval, RandomAccessibleInterval<V>, Distance, ExecutorService, int) - Static method in class net.imglib2.algorithm.morphology.distance.DistanceTransform: Create distance transforms of sampled functions on source using arbitrary Distance d.
Transform.ComputationType - Enum in net.imglib2.algorithm.blocks.transform: Specify in which precision should intermediate values be computed.
Transform.Interpolation - Enum in net.imglib2.algorithm.blocks.transform
Tree<T extends TreeNode<T>> - Interface in net.imglib2.algorithm.tree: A tree.
TreeNode<T extends TreeNode<T>> - Interface in net.imglib2.algorithm.tree: A node in a Tree (or Forest).
TreeUtils - Class in net.imglib2.algorithm.tree
TreeUtils() - Constructor for class net.imglib2.algorithm.tree.TreeUtils
TreeUtils.Consumer<T> - Interface in net.imglib2.algorithm.tree
TWOTHIRDS - Static variable in class net.imglib2.algorithm.bspline.AbstractBsplineKernel
TWOTHIRDS - Static variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
type() - Method in class net.imglib2.algorithm.bspline.BSplineCoefficientsInterpolatorFunction
type - Variable in class net.imglib2.algorithm.dog.DogDetection.TypedDogDetection
type() - Method in class net.imglib2.algorithm.gauss.AbstractGauss
type - Variable in class net.imglib2.algorithm.integral.IntegralImg
typedDogDetection - Variable in class net.imglib2.algorithm.dog.DogDetection
TypedDogDetection(F) - Constructor for class net.imglib2.algorithm.dog.DogDetection.TypedDogDetection
TypeWriter<T extends Type<T>> - Class in net.imglib2.algorithm.fill: Deprecated.
TypeWriter() - Constructor for class net.imglib2.algorithm.fill.TypeWriter: Deprecated.

U

UnaryBlockOperator<S extends NativeType<S>,T extends NativeType<T>> - Interface in net.imglib2.algorithm.blocks: Wraps BlockProcessor<I,O>, where I is the primitive array type backing ImgLib2 NativeType S and O is the primitive array type backing ImgLib2 NativeType T.
UnaryOperatorType - Enum in net.imglib2.algorithm.blocks.util: Enumerates unary operator types corresponding to mappings between the standard RealTypes, that is, every combination of OperandTypes.
UnionFind - Interface in net.imglib2.algorithm.util.unionfind: Data structure for the union find algorithm.
update(double) - Method in class net.imglib2.algorithm.convolution.fast_gauss.FastGaussCalculator
update(Localizable, long) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
update(long[], long) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
updateCenter(long[]) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
updateCenter(Localizable) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
updateCenter(long[]) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
updateCenter(Localizable) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphereCursor
updateCenter(long[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
updateCenter(Localizable) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood: Deprecated.
updateCenter(long[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
updateCenter(Localizable) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhood2: Deprecated.
updateCenter(long[]) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
updateCenter(Localizable) - Method in class net.imglib2.algorithm.region.localneighborhood.old.LocalNeighborhoodCursor: Deprecated.
updateInputLineSampler(SamplingLineIterator<T>, Interval, long[], Localizable) - Method in class net.imglib2.algorithm.gauss.AbstractGauss: Updates the current SamplingLineIterator to the location of the new line that is processed and clears the processing line (set all values to zero)
updateLabels() - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
updateOutputLineWriter(WritableLineIterator<T>, Interval, long[], Localizable) - Method in class net.imglib2.algorithm.gauss.AbstractGauss: Updates the current WritableLineIterator to the location of the new line that is processed.
updateRadius(long) - Method in class net.imglib2.algorithm.region.hypersphere.HyperSphere
Util - Class in net.imglib2.algorithm.math.abstractions
Util() - Constructor for class net.imglib2.algorithm.math.abstractions.Util

V

valid - Variable in class net.imglib2.algorithm.localextrema.RefinedPeak
validate(IFunction) - Static method in class net.imglib2.algorithm.math.Compute
value() - Method in interface net.imglib2.algorithm.componenttree.Component: Get the image threshold that created the connected component (extremal region).
value() - Method in class net.imglib2.algorithm.componenttree.mser.Mser: Get the image threshold that created the extremal region.
value() - Method in class net.imglib2.algorithm.componenttree.pixellist.PixelListComponent: Get the image threshold that created the extremal region.
value - Variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
value - Variable in class net.imglib2.algorithm.localextrema.RefinedPeak
valueMinusDelta(T) - Method in interface net.imglib2.algorithm.componenttree.mser.ComputeDelta: Compute the threshold = (value - delta).
valueMinusDelta(T) - Method in class net.imglib2.algorithm.componenttree.mser.ComputeDeltaBrightToDark
valueMinusDelta(T) - Method in class net.imglib2.algorithm.componenttree.mser.ComputeDeltaDarkToBright
valueOf(String) - Static method in enum net.imglib2.algorithm.blocks.convert.ClampType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.imglib2.algorithm.blocks.downsample.Downsample.ComputationType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.imglib2.algorithm.blocks.downsample.Downsample.Offset: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.imglib2.algorithm.blocks.transform.Transform.ComputationType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.imglib2.algorithm.blocks.transform.Transform.Interpolation: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.imglib2.algorithm.blocks.util.OperandType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.imglib2.algorithm.blocks.util.UnaryOperatorType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.imglib2.algorithm.dog.DogDetection.ExtremaType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.imglib2.algorithm.labeling.ConnectedComponents.StructuringElement: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.imglib2.algorithm.metrics.imagequality.NRMSE.Normalization: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.imglib2.algorithm.metrics.segmentation.MultiMetrics.Metrics: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.imglib2.algorithm.morphology.distance.DistanceTransform.DISTANCE_TYPE: Returns the enum constant of this type with the specified name.
values() - Static method in enum net.imglib2.algorithm.blocks.convert.ClampType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.imglib2.algorithm.blocks.downsample.Downsample.ComputationType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.imglib2.algorithm.blocks.downsample.Downsample.Offset: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.imglib2.algorithm.blocks.transform.Transform.ComputationType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.imglib2.algorithm.blocks.transform.Transform.Interpolation: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.imglib2.algorithm.blocks.util.OperandType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.imglib2.algorithm.blocks.util.UnaryOperatorType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.imglib2.algorithm.dog.DogDetection.ExtremaType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.imglib2.algorithm.labeling.ConnectedComponents.StructuringElement: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.imglib2.algorithm.metrics.imagequality.NRMSE.Normalization: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.imglib2.algorithm.metrics.segmentation.MultiMetrics.Metrics: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.imglib2.algorithm.morphology.distance.DistanceTransform.DISTANCE_TYPE: Returns an array containing the constants of this enum type, in the order they are declared.
var(String) - Static method in class net.imglib2.algorithm.math.ImgMath
Var - Class in net.imglib2.algorithm.math
Var(String) - Constructor for class net.imglib2.algorithm.math.Var
Variable<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
Variable(String, LetBinding<O>) - Constructor for class net.imglib2.algorithm.math.execution.Variable
Variable(String, O) - Constructor for class net.imglib2.algorithm.math.execution.Variable: Used by the ImgSource to replace itself with a Let-Var when inside the Then or Else of an If statement.
Vbreak - Class in net.imglib2.algorithm.morphology.table2d: Removes pixels that form horizontal bridges between vertical lines.
Vbreak() - Constructor for class net.imglib2.algorithm.morphology.table2d.Vbreak
vbreak(Img<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Vbreak
vbreak(RandomAccessible<T>, IterableInterval<T>) - Static method in class net.imglib2.algorithm.morphology.table2d.Vbreak
verifyMatching() - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
verifySlack() - Method in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
view() - Method in class net.imglib2.algorithm.math.abstractions.ViewableFunction
view(O) - Method in class net.imglib2.algorithm.math.abstractions.ViewableFunction
view(C, O) - Method in class net.imglib2.algorithm.math.abstractions.ViewableFunction
view(O, Converter<C, O>) - Method in class net.imglib2.algorithm.math.abstractions.ViewableFunction
view(Interval, Converter<RealType<?>, C>, C, O, Converter<C, O>) - Method in class net.imglib2.algorithm.math.Compute
view(C, O) - Method in class net.imglib2.algorithm.math.Compute: View the result of the computations as a RandomAccessibleInterval, i.e.
view(O) - Method in class net.imglib2.algorithm.math.Compute
view() - Method in class net.imglib2.algorithm.math.Compute
view(Interval) - Method in class net.imglib2.algorithm.math.Compute
view(Interval, O) - Method in class net.imglib2.algorithm.math.Compute
view(ViewableFunction) - Static method in class net.imglib2.algorithm.math.ImgMath: Almost all IFunction are also ViewableFunction.
ViewableFunction - Class in net.imglib2.algorithm.math.abstractions
ViewableFunction() - Constructor for class net.imglib2.algorithm.math.abstractions.ViewableFunction
viewDouble() - Method in class net.imglib2.algorithm.math.abstractions.ViewableFunction
viewDouble(O) - Method in class net.imglib2.algorithm.math.abstractions.ViewableFunction
viewDouble(O, Converter<RealType<?>, O>) - Method in class net.imglib2.algorithm.math.abstractions.ViewableFunction
viewFloats(ViewableFunction) - Static method in class net.imglib2.algorithm.math.ImgMath: Almost all IFunction are also ViewableFunction.
VolumetricSearch - Class in net.imglib2.algorithm.kdtree: The volumetric search uses a K-D tree to search for all hyper-rectangular nodes that contain a given point.
VolumetricSearch(List) - Constructor for class net.imglib2.algorithm.kdtree.VolumetricSearch
voteLines(RandomAccessibleInterval<T>, RandomAccessibleInterval) - Static method in class net.imglib2.algorithm.hough.HoughTransforms: Runs a Hough Line Tranform on an image and populates the vote space parameter with the results.
voteLines(RandomAccessibleInterval<T>, RandomAccessibleInterval, int) - Static method in class net.imglib2.algorithm.hough.HoughTransforms: Runs a Hough Line Tranform on an image and populates the vote space parameter with the results.
voteLines(RandomAccessibleInterval<T>, RandomAccessibleInterval, int, int) - Static method in class net.imglib2.algorithm.hough.HoughTransforms: Runs a Hough Line Tranform on an image and populates the vote space parameter with the results.
voteLines(RandomAccessibleInterval<T>, RandomAccessibleInterval, int, int, T) - Static method in class net.imglib2.algorithm.hough.HoughTransforms: Runs a Hough Line Tranform on an image and populates the vote space parameter with the results.
voteLines(RandomAccessibleInterval<T>, RandomAccessibleInterval, int, int, Predicate<T>) - Static method in class net.imglib2.algorithm.hough.HoughTransforms: Runs a Hough Line Tranform on an image and populates the vote space parameter with the results.

W

w - Variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
Watershed<T extends RealType<T>,L extends Comparable<L>> - Class in net.imglib2.algorithm.labeling: Watershed algorithms.
Watershed() - Constructor for class net.imglib2.algorithm.labeling.Watershed
Watershed.PixelIntensity> - Class in net.imglib2.algorithm.labeling
weight - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
weights - Variable in class net.imglib2.algorithm.interpolation.randomaccess.BSplineInterpolator
wrap(Object) - Static method in class net.imglib2.algorithm.math.abstractions.Util
wrapMap(Object, Object[]) - Static method in class net.imglib2.algorithm.math.abstractions.Util
WritableLineIterator<T extends Type<T>> - Class in net.imglib2.algorithm.gauss: Deprecated.
WritableLineIterator(int, long, RandomAccess<T>) - Constructor for class net.imglib2.algorithm.gauss.WritableLineIterator: Deprecated.

Make a new AbstractWritableLineIterator which iterates a 1d line of a certain length and is used as the input for the convolution operation
write(T, T) - Method in class net.imglib2.algorithm.fill.TypeWriter: Deprecated.
write(U, U) - Method in interface net.imglib2.algorithm.fill.Writer: Deprecated.
writeLine(WritableLineIterator<T>, SamplingLineIterator<T>) - Method in class net.imglib2.algorithm.gauss.AbstractGauss: Writes the computed line back into the output/temp image.
Writer - Interface in net.imglib2.algorithm.fill: Deprecated.

X

x - Variable in class net.imglib2.algorithm.metrics.segmentation.assignment.MunkresKuhnAlgorithm
XOR(Object, Object) - Static method in class net.imglib2.algorithm.math.ImgMath
XOR(Object...) - Static method in class net.imglib2.algorithm.math.ImgMath
XorLogical - Class in net.imglib2.algorithm.math
XorLogical(Object, Object) - Constructor for class net.imglib2.algorithm.math.XorLogical
XorLogical(Object...) - Constructor for class net.imglib2.algorithm.math.XorLogical

Z

zero - Variable in class net.imglib2.algorithm.math.abstractions.ABooleanFunction
ZeroMinus<O extends RealType<O>> - Class in net.imglib2.algorithm.math.execution
ZeroMinus(O, OFunction<O>) - Constructor for class net.imglib2.algorithm.math.execution.ZeroMinus

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