Uses of Interface net.imglib2.type.numeric.NumericType (ImgLib2 Javadocs 0-SNAPSHOT API)

Packages that use NumericType
Package	Description
net.imglib2.algorithm.componenttree.mser
net.imglib2.algorithm.convolution.kernel
net.imglib2.algorithm.dog
net.imglib2.algorithm.fft
net.imglib2.algorithm.function
net.imglib2.algorithm.gauss
net.imglib2.algorithm.gauss3
net.imglib2.algorithm.gradient
net.imglib2.algorithm.integral
net.imglib2.algorithm.stats
net.imglib2.converter
net.imglib2.img
net.imglib2.img.display.imagej
net.imglib2.img.imageplus
net.imglib2.img.io
net.imglib2.interpolation.randomaccess
net.imglib2.interpolation.stack
net.imglib2.outofbounds
net.imglib2.type
net.imglib2.type.logic
net.imglib2.type.numeric
net.imglib2.type.numeric.complex
net.imglib2.type.numeric.integer
net.imglib2.type.numeric.real
net.imglib2.type.volatiles
net.imglib2.view
net.imglib2.view.composite

Uses of NumericType in net.imglib2.algorithm.componenttree.mser

Classes in net.imglib2.algorithm.componenttree.mser with type parameters of type NumericType
Modifier and Type	Class and Description
`class`	`ComputeDeltaBrightToDark<T extends NumericType<T>>` Default implementation of `ComputeDelta` for bright-to-dark pass for `NumericType`.
`class`	`ComputeDeltaDarkToBright<T extends NumericType<T>>` Default implementation of `ComputeDelta` for dark-to-bright pass for `NumericType`.

Uses of NumericType in net.imglib2.algorithm.convolution.kernel

Classes in net.imglib2.algorithm.convolution.kernel with type parameters of type NumericType
Modifier and Type	Class and Description
`class`	`ConvolverNativeType<T extends NumericType<T> & NativeType<T>>` A 1-dimensional line convolver that operates on all `NumericType` with `NativeType` representation.
`class`	`ConvolverNumericType<T extends NumericType<T>>` A 1-dimensional line convolver that operates on all `NumericType`.

Methods in net.imglib2.algorithm.convolution.kernel that return NumericType
Modifier and Type	Method and Description
`NumericType<?>`	KernelConvolverFactory.`preferredSourceType(NumericType<?> targetType)`

Methods in net.imglib2.algorithm.convolution.kernel that return types with arguments of type NumericType
Modifier and Type	Method and Description
`static Convolution<NumericType<?>>`	SeparableKernelConvolution.`convolution(Kernel1D... kernels)` Return an object, that performs the separable convolution with the given kernel.
`static Convolution<NumericType<?>>`	SeparableKernelConvolution.`convolution1d(Kernel1D kernel, int direction)` Apply a convolution only in one dimension.

Methods in net.imglib2.algorithm.convolution.kernel with parameters of type NumericType
Modifier and Type	Method and Description
`NumericType<?>`	KernelConvolverFactory.`preferredSourceType(NumericType<?> targetType)`

Method parameters in net.imglib2.algorithm.convolution.kernel with type arguments of type NumericType
Modifier and Type	Method and Description
`static void`	SeparableKernelConvolution.`convolve(Kernel1D[] kernels, RandomAccessible<? extends NumericType<?>> source, RandomAccessibleInterval<? extends NumericType<?>> target)` Convolve source with a separable kernel and write the result to output.
`static void`	SeparableKernelConvolution.`convolve(Kernel1D[] kernels, RandomAccessible<? extends NumericType<?>> source, RandomAccessibleInterval<? extends NumericType<?>> target)` Convolve source with a separable kernel and write the result to output.
`Runnable`	KernelConvolverFactory.`getConvolver(RandomAccess<? extends NumericType<?>> in, RandomAccess<? extends NumericType<?>> out, int d, long lineLength)`
`Runnable`	KernelConvolverFactory.`getConvolver(RandomAccess<? extends NumericType<?>> in, RandomAccess<? extends NumericType<?>> out, int d, long lineLength)`

Uses of NumericType in net.imglib2.algorithm.dog

Methods in net.imglib2.algorithm.dog with type parameters of type NumericType
Modifier and Type	Method and Description
`static <I extends NumericType<I>,T extends NumericType<T> & NativeType<T>> void`	DifferenceOfGaussian.`DoG(double[] sigmaSmaller, double[] sigmaLarger, RandomAccessible<I> input, RandomAccessible<T> tmp, RandomAccessibleInterval<T> dog, ExecutorService service)` Compute the difference of Gaussian for the input.
`static <I extends NumericType<I>,T extends NumericType<T> & NativeType<T>> void`	DifferenceOfGaussian.`DoG(double[] sigmaSmaller, double[] sigmaLarger, RandomAccessible<I> input, RandomAccessible<T> tmp, RandomAccessibleInterval<T> dog, ExecutorService service)` Compute the difference of Gaussian for the input.
`static <I extends NumericType<I>,T extends NumericType<T> & NativeType<T>> void`	DifferenceOfGaussian.`DoG(double[] sigmaSmaller, double[] sigmaLarger, RandomAccessible<I> input, RandomAccessibleInterval<T> dog, ExecutorService service)` Compute the difference of Gaussian for the input.
`static <I extends NumericType<I>,T extends NumericType<T> & NativeType<T>> void`	DifferenceOfGaussian.`DoG(double[] sigmaSmaller, double[] sigmaLarger, RandomAccessible<I> input, RandomAccessibleInterval<T> dog, ExecutorService service)` Compute the difference of Gaussian for the input.

Uses of NumericType in net.imglib2.algorithm.fft

Classes in net.imglib2.algorithm.fft with type parameters of type NumericType
Modifier and Type	Class and Description
`class`	`Bandpass<T extends NumericType<T>>` Deprecated. use `FFT` instead

Uses of NumericType in net.imglib2.algorithm.function

Classes in net.imglib2.algorithm.function with type parameters of type NumericType
Modifier and Type	Class and Description
`class`	`SubtractNorm<A extends NumericType<A>>` TODO

Uses of NumericType in net.imglib2.algorithm.gauss

Classes in net.imglib2.algorithm.gauss with type parameters of type NumericType
Modifier and Type	Class and Description
`class`	`AbstractGauss<T extends NumericType<T>>`
`class`	`GaussGeneral<T extends NumericType<T>>` Deprecated.
`class`	`GaussNativeType<T extends NumericType<T> & NativeType<T>>` Deprecated.

Methods in net.imglib2.algorithm.gauss with type parameters of type NumericType
Modifier and Type	Method and Description
`static <T extends NumericType<T>> Img<T>`	Gauss.`inNumericType(double[] sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with the precision of the type provided on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends NumericType<T>> Img<T>`	Gauss.`inNumericType(double[] sigma, Img<T> img, OutOfBoundsFactory<T,RandomAccessibleInterval<T>> outofbounds)` Deprecated. Computes a Gaussian convolution with the precision of the type provided on an entire `Img`
`static <T extends NumericType<T>> void`	Gauss.`inNumericType(double[] sigma, RandomAccessible<T> img, Interval interval, RandomAccessible<T> output, Localizable origin, ImgFactory<T> imgFactory)` Deprecated. Computes a Gaussian convolution with the precision of the type provided on an infinite `RandomAccessible`
`static <T extends NumericType<T>> Img<T>`	Gauss.`inNumericType(double sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with the precision of the type provided on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends NumericType<T>> Img<T>`	Gauss.`inNumericType(double sigma, Img<T> img, OutOfBoundsFactory<T,RandomAccessibleInterval<T>> outofbounds)` Deprecated. Computes a Gaussian convolution with the precision of the type provided on an entire `Img`
`static <T extends NumericType<T>> void`	Gauss.`inNumericType(double sigma, RandomAccessible<T> img, Interval interval, RandomAccessible<T> output, Localizable origin, ImgFactory<T> imgFactory)` Deprecated. Computes a Gaussian convolution with the precision of the type provided on an infinite `RandomAccessible`
`static <T extends NumericType<T>> void`	Gauss.`inNumericTypeInPlace(double[] sigma, Img<T> img)` 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
`static <T extends NumericType<T>> void`	Gauss.`inNumericTypeInPlace(double[] sigma, Img<T> img, OutOfBoundsFactory<T,RandomAccessibleInterval<T>> outofbounds)` Deprecated. Computes a Gaussian convolution in-place (temporary imgs are necessary) with the precision of the type provided on an entire `Img`
`static <T extends NumericType<T>> void`	Gauss.`inNumericTypeInPlace(double sigma, Img<T> img)` 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
`static <T extends NumericType<T>> void`	Gauss.`inNumericTypeInPlace(double sigma, Img<T> img, OutOfBoundsFactory<T,RandomAccessibleInterval<T>> outofbounds)` Deprecated. Computes a Gaussian convolution in-place (temporary imgs are necessary) with the precision of the type provided on an entire `Img`

Uses of NumericType in net.imglib2.algorithm.gauss3

Classes in net.imglib2.algorithm.gauss3 with type parameters of type NumericType
Modifier and Type	Class and Description
`class`	`ConvolverNativeType<T extends NumericType<T> & NativeType<T>>` Deprecated.
`static class`	`ConvolverNativeType.ConvolverFactoryNativeType<T extends NumericType<T> & NativeType<T>>` Deprecated.
`class`	`ConvolverNativeTypeBuffered<T extends NumericType<T> & NativeType<T>>` Deprecated.
`static class`	`ConvolverNativeTypeBuffered.ConvolverFactoryNativeTypeBuffered<T extends NumericType<T> & NativeType<T>>` Deprecated.
`class`	`ConvolverNumericType<T extends NumericType<T>>` Deprecated.
`static class`	`ConvolverNumericType.ConvolverNumericTypeFactory<T extends NumericType<T>>` Deprecated.

Methods in net.imglib2.algorithm.gauss3 with type parameters of type NumericType
Modifier and Type	Method and Description
`static <S extends NumericType<S>,T extends NumericType<T>> void`	SeparableSymmetricConvolution.`convolve(double[][] halfkernels, RandomAccessible<S> source, RandomAccessibleInterval<T> target, ExecutorService service)` 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.
`static <S extends NumericType<S>,T extends NumericType<T>> void`	SeparableSymmetricConvolution.`convolve(double[][] halfkernels, RandomAccessible<S> source, RandomAccessibleInterval<T> target, ExecutorService service)` 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.
`static <T extends NumericType<T>> ConvolverNumericType.ConvolverNumericTypeFactory<T>`	ConvolverNumericType.`factory(T type)` Deprecated.
`static <T extends NumericType<T> & NativeType<T>> ConvolverNativeTypeBuffered.ConvolverFactoryNativeTypeBuffered<T>`	ConvolverNativeTypeBuffered.`factory(T type)` Deprecated.
`static <T extends NumericType<T> & NativeType<T>> ConvolverNativeType.ConvolverFactoryNativeType<T>`	ConvolverNativeType.`factory(T type)` Deprecated.
`static <S extends NumericType<S>,T extends NumericType<T>> void`	Gauss3.`gauss(double[] sigma, RandomAccessible<S> source, RandomAccessibleInterval<T> target)` Apply Gaussian convolution to source and write the result to target.
`static <S extends NumericType<S>,T extends NumericType<T>> void`	Gauss3.`gauss(double[] sigma, RandomAccessible<S> source, RandomAccessibleInterval<T> target)` Apply Gaussian convolution to source and write the result to target.
`static <S extends NumericType<S>,T extends NumericType<T>> void`	Gauss3.`gauss(double[] sigma, RandomAccessible<S> source, RandomAccessibleInterval<T> target, ExecutorService service)` 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. 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.
`static <S extends NumericType<S>,T extends NumericType<T>> void`	Gauss3.`gauss(double[] sigma, RandomAccessible<S> source, RandomAccessibleInterval<T> target, ExecutorService service)` 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. 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.
`static <S extends NumericType<S>,T extends NumericType<T>> void`	Gauss3.`gauss(double[] sigma, RandomAccessible<S> source, RandomAccessibleInterval<T> target, int numThreads)` 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.
`static <S extends NumericType<S>,T extends NumericType<T>> void`	Gauss3.`gauss(double[] sigma, RandomAccessible<S> source, RandomAccessibleInterval<T> target, int numThreads)` 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.
`static <S extends NumericType<S>,T extends NumericType<T>> void`	Gauss3.`gauss(double sigma, RandomAccessible<S> source, RandomAccessibleInterval<T> target)` Apply Gaussian convolution to source and write the result to target.
`static <S extends NumericType<S>,T extends NumericType<T>> void`	Gauss3.`gauss(double sigma, RandomAccessible<S> source, RandomAccessibleInterval<T> target)` Apply Gaussian convolution to source and write the result to target.

Uses of NumericType in net.imglib2.algorithm.gradient

Methods in net.imglib2.algorithm.gradient with type parameters of type NumericType
Modifier and Type	Method and Description
`static <T extends NumericType<T>> void`	PartialDerivative.`gradientBackwardDifference(RandomAccessible<T> source, RandomAccessibleInterval<T> result, int dimension)` 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
`static <T extends NumericType<T>> void`	PartialDerivative.`gradientCentralDifference(RandomAccessible<T> source, RandomAccessibleInterval<T> result, int dimension)` 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.
`static <T extends NumericType<T>> void`	PartialDerivative.`gradientCentralDifference2(RandomAccessible<T> source, RandomAccessibleInterval<T> gradient, int dimension)` 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.
`static <T extends NumericType<T>> void`	PartialDerivative.`gradientCentralDifferenceParallel(RandomAccessible<T> source, RandomAccessibleInterval<T> gradient, int dimension, int nTasks, ExecutorService es)` 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.
`static <T extends NumericType<T>> void`	PartialDerivative.`gradientForwardDifference(RandomAccessible<T> source, RandomAccessibleInterval<T> result, int dimension)` 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

Uses of NumericType in net.imglib2.algorithm.integral

Classes in net.imglib2.algorithm.integral with type parameters of type NumericType
Modifier and Type	Class and Description
`class`	`IntegralImg<R extends NumericType<R>,T extends NumericType<T> & NativeType<T>>` n-dimensional integral image that stores sums using type `<T>`.
`class`	`IntegralImg<R extends NumericType<R>,T extends NumericType<T> & NativeType<T>>` n-dimensional integral image that stores sums using type `<T>`.
`class`	`IntegralImgDouble<R extends NumericType<R>>` Special implementation for double using the basic type to sum up the individual lines.
`class`	`IntegralImgLong<R extends NumericType<R>>` Special implementation for long using the basic type to sum up the individual lines.

Fields in net.imglib2.algorithm.integral declared as NumericType
Modifier and Type	Field and Description
`protected T`	IntegralImg.`type`

Uses of NumericType in net.imglib2.algorithm.stats

Methods in net.imglib2.algorithm.stats with type parameters of type NumericType
Modifier and Type	Method and Description
`static <T extends NumericType<T> & Comparable<T>> void`	Normalize.`normalize(IterableInterval<T> iterable, T min, T max)` Normalize values of an `IterableInterval` to the range [min, max].

Uses of NumericType in net.imglib2.converter

Methods in net.imglib2.converter with type parameters of type NumericType
Modifier and Type	Method and Description
`static <A extends NumericType<A>,B extends Type<B>> RandomAccessibleInterval<B>`	Converters.`composeNumeric(List<RandomAccessibleInterval<A>> components, Converter<NumericComposite<A>,B> composer, B targetType)` Compose a list of same `Interval` and same `NumericType` A `RandomAccessibleIntervals` into a `RandomAccessibleInterval` of some target `Type` B using a `Converter` from `Composite` of A to B.
`static <A extends NumericType<A>,B extends Type<B>> RandomAccessibleInterval<B>`	Converters.`composeNumeric(List<RandomAccessibleInterval<A>> components, Converter<NumericComposite<A>,B> composer, Supplier<B> targetTypeSupplier)` Compose a list of same `Interval` and same `NumericType` A `RandomAccessibleIntervals` into a `RandomAccessibleInterval` of some target `Type` B using a `Converter` from `Composite` of A to B.

Uses of NumericType in net.imglib2.img

Methods in net.imglib2.img with type parameters of type NumericType
Modifier and Type	Method and Description
`protected static <T extends NumericType<T> & NativeType<T>> void`	ImagePlusAdapter.`setAxesFromImagePlus(ImgPlus<T> image, ij.ImagePlus imp)`
`static <T extends NumericType<T> & NativeType<T>> ImagePlusImg<T,?>`	ImagePlusAdapter.`wrap(ij.ImagePlus imp)`
`static <T extends NumericType<T> & NativeType<T>> ImgPlus<T>`	ImagePlusAdapter.`wrapImgPlus(ij.ImagePlus imp)`

Uses of NumericType in net.imglib2.img.display.imagej

Methods in net.imglib2.img.display.imagej with type parameters of type NumericType
Modifier and Type	Method and Description
`static <T extends NumericType<T>> ij.ImagePlus`	ImageJFunctions.`show(RandomAccessibleInterval<T> img)`
`static <T extends NumericType<T>> ij.ImagePlus`	ImageJFunctions.`show(RandomAccessibleInterval<T> img, ExecutorService service)` Display and return a single channel `ImagePlus`, wrapping a `RandomAccessibleInterval`.
`static <T extends NumericType<T>> ij.ImagePlus`	ImageJFunctions.`show(RandomAccessibleInterval<T> img, String title)`
`static <T extends NumericType<T>> ij.ImagePlus`	ImageJFunctions.`show(RandomAccessibleInterval<T> img, String title, ExecutorService service)`
`static <T extends NumericType<T> & NativeType<T>> Img<T>`	ImageJFunctions.`wrap(ij.ImagePlus imp)`
`static <T extends NumericType<T>> ij.ImagePlus`	ImageJFunctions.`wrap(RandomAccessibleInterval<T> img, String title)`
`static <T extends NumericType<T>> ij.ImagePlus`	ImageJFunctions.`wrap(RandomAccessibleInterval<T> img, String title, ExecutorService service)` Create a single channel `ImagePlus` from a `RandomAccessibleInterval`.
`static <T extends NumericType<T>> Img<T>`	ImageJFunctions.`wrapNumeric(ij.ImagePlus imp)`
`static <T extends NumericType<T> & NativeType<T>> Img<T>`	ImageJFunctions.`wrapNumericNative(ij.ImagePlus imp)`

Uses of NumericType in net.imglib2.img.imageplus

Methods in net.imglib2.img.imageplus with type parameters of type NumericType
Modifier and Type	Method and Description
`static <T extends NumericType<T> & NativeType<T>> ImagePlusImg<T,?>`	ImagePlusImgs.`from(ij.ImagePlus imp)` Create an `ImagePlusImg<ComplexDoubleType`, `DoubleArray>`.

Uses of NumericType in net.imglib2.img.io

Classes in net.imglib2.img.io with type parameters of type NumericType
Modifier and Type	Class and Description
`class`	`IJLoader<T extends NumericType<T> & NativeType<T>>` An ImageJ-powered implementation of a disk-based `CacheLoader`: the file system is the cache, and requests to load image file paths are executed using ImageJ's `IJ.openImage(java.lang.String)`, and wrapped as `PlanarImg` via the `ImageJFunctions.wrap(ij.ImagePlus)`.

Methods in net.imglib2.img.io with type parameters of type NumericType
Modifier and Type	Method and Description
`static <T extends NumericType<T> & NativeType<T>,A extends ArrayDataAccess<A>> LazyCellImg<T,A>`	Load.`lazyStack(List<String> paths)` Convenient method that invokes `Load.lazyStack(List, CacheLoader)` with a cache-enabled `IJLoader`.
`static <T extends NumericType<T> & NativeType<T>,A extends ArrayDataAccess<A>> CachedCellImg<T,A>`	Load.`lazyStack(List<String> paths, CacheLoader<String,Img<T>> loader)` Return a `CachedCellImg` representation of the ordered list of file paths, with each file path pointing to an image that can be loaded with the `CacheLoader`.
`static <T extends NumericType<T> & NativeType<T>,A extends ArrayDataAccess<A>> LazyCellImg<T,A>`	Load.`lazyStack(String[] paths)` Convenient method that invokes `Load.lazyStack(List, CacheLoader)` with a cache-enabled `IJLoader`.
`static <T extends NumericType<T> & NativeType<T>> RandomAccessibleInterval<T>`	Load.`stack(List<String> paths, CacheLoader<String,Img<T>> loader)` Return an `Img` representation of the ordered list of file paths, with each file path pointing to an image that can be loaded with the `CacheLoader`.
`static <T extends NumericType<T> & NativeType<T>> RandomAccessibleInterval<T>`	Load.`stack(String[] paths, CacheLoader<String,Img<T>> loader)`

Uses of NumericType in net.imglib2.interpolation.randomaccess

Classes in net.imglib2.interpolation.randomaccess with type parameters of type NumericType
Modifier and Type	Class and Description
`class`	`ClampingNLinearInterpolatorFactory<T extends NumericType<T>>` Provides clamping n-linear interpolators for volatile and non-volatile types.
`class`	`NLinearInterpolator<T extends NumericType<T>>` Performs multi-linear interpolation.
`class`	`NLinearInterpolator1D<T extends NumericType<T>>`
`class`	`NLinearInterpolator2D<T extends NumericType<T>>`
`class`	`NLinearInterpolator3D<T extends NumericType<T>>`
`class`	`NLinearInterpolatorFactory<T extends NumericType<T>>`

Fields in net.imglib2.interpolation.randomaccess declared as NumericType
Modifier and Type	Field and Description
`protected T`	NLinearInterpolator.`accumulator`
`protected T`	NLinearInterpolator.`tmp`

Uses of NumericType in net.imglib2.interpolation.stack

Classes in net.imglib2.interpolation.stack with type parameters of type NumericType
Modifier and Type	Class and Description
`class`	`LinearRealRandomAccessibleStackInterpolator<T extends NumericType<T>>` A linear interpolator for stacks of `RealRandomAccessible`s.
`class`	`LinearRealRandomAccessibleStackInterpolatorFactory<T extends NumericType<T>,F extends List<RealRandomAccessible<T>>>`

Fields in net.imglib2.interpolation.stack declared as NumericType
Modifier and Type	Field and Description
`protected T`	LinearRealRandomAccessibleStackInterpolator.`tmp` required because (a - b) in (a - b) * w + b cannot become negative value in unsigned types and NumericType is not Comparable so we cannot have decide which of the two options (a - b) * w + b or (b - a) * w1 + a could work
`protected T`	LinearRealRandomAccessibleStackInterpolator.`value`

Uses of NumericType in net.imglib2.outofbounds

Classes in net.imglib2.outofbounds with type parameters of type NumericType
Modifier and Type	Class and Description
`class`	`OutOfBoundsMirrorExpWindowing<T extends NumericType<T>>` Adds a exponential windowing to the mirrored content outside the Interval boundaries
`class`	`OutOfBoundsMirrorExpWindowingFactory<T extends NumericType<T>,F extends Interval & RandomAccessible<T>>` TODO

Uses of NumericType in net.imglib2.type

Subinterfaces of NumericType in net.imglib2.type
Modifier and Type	Interface and Description
`interface`	`BooleanType<T extends BooleanType<T>>` TODO

Uses of NumericType in net.imglib2.type.logic

Classes in net.imglib2.type.logic that implement NumericType
Modifier and Type	Class and Description
`class`	`BitType` TODO
`class`	`BoolType` A `BooleanType` wrapping a single primitive `boolean` variable.
`class`	`NativeBoolType` `NativeType` backed by `boolean`.

Uses of NumericType in net.imglib2.type.numeric

Classes in net.imglib2.type.numeric with type parameters of type NumericType
Modifier and Type	Interface and Description
`interface`	`NumericType<T extends NumericType<T>>` TODO

Subinterfaces of NumericType in net.imglib2.type.numeric
Modifier and Type	Interface and Description
`interface`	`ComplexType<T extends ComplexType<T>>` TODO
`interface`	`IntegerType<T extends IntegerType<T>>` TODO
`interface`	`RealType<T extends RealType<T>>` TODO

Classes in net.imglib2.type.numeric that implement NumericType
Modifier and Type	Class and Description
`class`	`AbstractARGBDoubleType<T extends AbstractARGBDoubleType<T>>`
`class`	`ARGBDoubleType`
`class`	`ARGBLongAccessType`
`class`	`ARGBType` A `native` `NumericType` that encodes four channels at unsigned byte precision into one 32bit signed integer which is the format used in most display oriented image processing libraries such as AWT or ImageJ.
`class`	`NativeARGBDoubleType`

Uses of NumericType in net.imglib2.type.numeric.complex

Classes in net.imglib2.type.numeric.complex that implement NumericType
Modifier and Type	Class and Description
`class`	`AbstractComplexType<T extends AbstractComplexType<T>>` TODO
`class`	`ComplexDoubleLongAccessType`
`class`	`ComplexDoubleType` TODO
`class`	`ComplexFloatLongAccessType`
`class`	`ComplexFloatType` TODO

Uses of NumericType in net.imglib2.type.numeric.integer

Classes in net.imglib2.type.numeric.integer that implement NumericType
Modifier and Type	Class and Description
`class`	`AbstractIntegerBitType<T extends AbstractIntegerBitType<T>>` The performance of this type is traded off for the gain in memory storage.
`class`	`AbstractIntegerType<T extends AbstractIntegerType<T>>` TODO
`class`	`ByteLongAccessType`
`class`	`ByteType` TODO
`class`	`GenericByteLongAccessType<T extends GenericByteLongAccessType<T>>` TODO
`class`	`GenericByteType<T extends GenericByteType<T>>` TODO
`class`	`GenericIntLongAccessType<T extends GenericIntLongAccessType<T>>`
`class`	`GenericIntType<T extends GenericIntType<T>>` TODO
`class`	`GenericLongLongAccessType<T extends GenericLongLongAccessType<T>>` Abstract superclass for Long types.
`class`	`GenericLongType<T extends GenericLongType<T>>` Abstract superclass for Long types.
`class`	`GenericShortLongAccessType<T extends GenericShortLongAccessType<T>>` Abstract base class for `native` `IntegerType`s that encode their value into a 16bit short.
`class`	`GenericShortType<T extends GenericShortType<T>>` Abstract base class for `native` `IntegerType`s that encode their value into a 16bit short.
`class`	`IntLongAccessType`
`class`	`IntType` TODO
`class`	`LongLongAccessType`
`class`	`LongType` TODO
`class`	`ShortLongAccessType`
`class`	`ShortType` TODO
`class`	`Unsigned128BitType` A `Type` with a bit depth of 128.
`class`	`Unsigned12BitType` A 12-bit `Type` whose data is stored in a `LongAccess`.
`class`	`Unsigned2BitType` A `Type` with a bit depth of 2.
`class`	`Unsigned4BitType` A `Type` with a bit depth of 4.
`class`	`UnsignedByteLongAccessType`
`class`	`UnsignedByteType` TODO
`class`	`UnsignedIntLongAccessType`
`class`	`UnsignedIntType` TODO
`class`	`UnsignedLongLongAccessType` TODO
`class`	`UnsignedLongType` TODO
`class`	`UnsignedShortLongAccessType`
`class`	`UnsignedShortType` TODO
`class`	`UnsignedVariableBitLengthType` A `Type` with arbitrary bit depth up to maximum 64 bits.

Uses of NumericType in net.imglib2.type.numeric.real

Classes in net.imglib2.type.numeric.real that implement NumericType
Modifier and Type	Class and Description
`class`	`AbstractRealType<T extends AbstractRealType<T>>` TODO
`class`	`DoubleLongAccessType`
`class`	`DoubleType` TODO
`class`	`FloatLongAccessType`
`class`	`FloatType` TODO

Uses of NumericType in net.imglib2.type.volatiles

Classes in net.imglib2.type.volatiles with type parameters of type NumericType
Modifier and Type	Class and Description
`class`	`AbstractVolatileNativeNumericType<N extends NumericType<N> & NativeType<N>,T extends AbstractVolatileNativeNumericType<N,T>>` Abstract base class for `VolatileNumericType`s that wrap `native` `NumericType`s.
`class`	`AbstractVolatileNumericType<N extends NumericType<N>,T extends AbstractVolatileNumericType<N,T>>` Abstract base class for `VolatileNumericType`s that wrap a `NumericType` that is either VALID or INVALID.
`class`	`VolatileNumericType<T extends NumericType<T>>` Something volatile that has a value and is either VALID or INVALID.

Classes in net.imglib2.type.volatiles that implement NumericType
Modifier and Type	Class and Description
`class`	`AbstractVolatileNativeNumericType<N extends NumericType<N> & NativeType<N>,T extends AbstractVolatileNativeNumericType<N,T>>` Abstract base class for `VolatileNumericType`s that wrap `native` `NumericType`s.
`class`	`AbstractVolatileNativeRealType<R extends RealType<R> & NativeType<R>,T extends AbstractVolatileNativeRealType<R,T>>` Abstract base class for `VolatileRealType`s that wrap `native` `RealType`s.
`class`	`AbstractVolatileNumericType<N extends NumericType<N>,T extends AbstractVolatileNumericType<N,T>>` Abstract base class for `VolatileNumericType`s that wrap a `NumericType` that is either VALID or INVALID.
`class`	`AbstractVolatileRealType<R extends RealType<R>,T extends AbstractVolatileRealType<R,T>>` Abstract base class for `VolatileRealType`s that wrap `RealType`.
`class`	`VolatileARGBType` A `Volatile` variant of `UnsignedShortType`.
`class`	`VolatileByteType` A `Volatile` variant of `ByteType`.
`class`	`VolatileDoubleType` A `Volatile` variant of `DoubleType`.
`class`	`VolatileFloatType` A `Volatile` variant of `FloatType`.
`class`	`VolatileIntType` A `Volatile` variant of `IntType`.
`class`	`VolatileLongType` A `Volatile` variant of `LongType`.
`class`	`VolatileNumericType<T extends NumericType<T>>` Something volatile that has a value and is either VALID or INVALID.
`class`	`VolatileRealType<T extends RealType<T>>` Something volatile that has a value and is either VALID or INVALID.
`class`	`VolatileShortType` A `Volatile` variant of `ShortType`.
`class`	`VolatileUnsignedByteType` A `Volatile` variant of `UnsignedByteType`.
`class`	`VolatileUnsignedIntType` A `Volatile` variant of `UnsignedIntType`.
`class`	`VolatileUnsignedLongType` A `Volatile` variant of `UnsignedLongType`.
`class`	`VolatileUnsignedShortType` A `Volatile` variant of `UnsignedShortType`.

Uses of NumericType in net.imglib2.view

Methods in net.imglib2.view with type parameters of type NumericType
Modifier and Type	Method and Description
`static <T extends NumericType<T>> CompositeView<T,NumericComposite<T>>`	Views.`collapseNumeric(RandomAccessible<T> source, int numChannels)` Collapse the n^th dimension of an n -dimensional `RandomAccessible`<T extends `NumericType` <T>> into an (n-1)-dimensional `RandomAccessible` <`NumericComposite`<T>>
`static <T extends NumericType<T>> CompositeIntervalView<T,NumericComposite<T>>`	Views.`collapseNumeric(RandomAccessibleInterval<T> source)` Collapse the n^th dimension of an n -dimensional `RandomAccessibleInterval`<T extends `NumericType`<T>> into an (n-1)-dimensional `RandomAccessibleInterval`<`NumericComposite`<T>>
`static <T extends NumericType<T>> IntervalView<T>`	Views.`expandZero(RandomAccessibleInterval<T> source, long... border)` Expand a RandomAccessibleInterval as specified by border.
`static <T extends NumericType<T>,F extends RandomAccessibleInterval<T>> ExtendedRandomAccessibleInterval<T,F>`	Views.`extendZero(F source)` Extend a RandomAccessibleInterval with a constant-value out-of-bounds strategy where the constant value is the zero-element of the data type.

Uses of NumericType in net.imglib2.view.composite

Classes in net.imglib2.view.composite with type parameters of type NumericType
Modifier and Type	Class and Description
`class`	`AbstractNumericComposite<T extends NumericType<T>,C extends AbstractNumericComposite<T,C>>` Abstract base class for a vector of `NumericType` scalars.
`class`	`NumericComposite<T extends NumericType<T>>` A vector of `NumericType` scalars.
`static class`	`NumericComposite.Factory<T extends NumericType<T>>`

Classes in net.imglib2.view.composite that implement NumericType
Modifier and Type	Class and Description
`class`	`AbstractNumericComposite<T extends NumericType<T>,C extends AbstractNumericComposite<T,C>>` Abstract base class for a vector of `NumericType` scalars.
`class`	`NumericComposite<T extends NumericType<T>>` A vector of `NumericType` scalars.
`class`	`RealComposite<T extends RealType<T>>` A vector of `RealType` scalars.

Uses of Interfacenet.imglib2.type.numeric.NumericType

Uses of NumericType in net.imglib2.algorithm.componenttree.mser

Uses of NumericType in net.imglib2.algorithm.convolution.kernel

Uses of NumericType in net.imglib2.algorithm.dog

Uses of NumericType in net.imglib2.algorithm.fft

Uses of NumericType in net.imglib2.algorithm.function

Uses of NumericType in net.imglib2.algorithm.gauss

Uses of NumericType in net.imglib2.algorithm.gauss3

Uses of NumericType in net.imglib2.algorithm.gradient

Uses of NumericType in net.imglib2.algorithm.integral

Uses of NumericType in net.imglib2.algorithm.stats

Uses of NumericType in net.imglib2.converter

Uses of NumericType in net.imglib2.img

Uses of NumericType in net.imglib2.img.display.imagej

Uses of NumericType in net.imglib2.img.imageplus

Uses of NumericType in net.imglib2.img.io

Uses of NumericType in net.imglib2.interpolation.randomaccess

Uses of NumericType in net.imglib2.interpolation.stack

Uses of NumericType in net.imglib2.outofbounds

Uses of NumericType in net.imglib2.type

Uses of NumericType in net.imglib2.type.logic

Uses of NumericType in net.imglib2.type.numeric

Uses of NumericType in net.imglib2.type.numeric.complex

Uses of NumericType in net.imglib2.type.numeric.integer

Uses of NumericType in net.imglib2.type.numeric.real

Uses of NumericType in net.imglib2.type.volatiles

Uses of NumericType in net.imglib2.view

Uses of NumericType in net.imglib2.view.composite

Uses of Interface
net.imglib2.type.numeric.NumericType