Uses of Class net.imglib2.img.ImgFactory (ImgLib2 Javadocs 0-SNAPSHOT API)

Packages that use ImgFactory
Package	Description
net.imglib2.algorithm.bspline
net.imglib2.algorithm.componenttree.mser
net.imglib2.algorithm.componenttree.pixellist
net.imglib2.algorithm.edge
net.imglib2.algorithm.fft
net.imglib2.algorithm.fft2
net.imglib2.algorithm.gauss
net.imglib2.algorithm.gauss3
net.imglib2.algorithm.integral
net.imglib2.algorithm.interpolation.randomaccess
net.imglib2.algorithm.linalg.eigen
net.imglib2.algorithm.pde
net.imglib2.algorithm.transformation
net.imglib2.cache.img
net.imglib2.histogram
net.imglib2.img
net.imglib2.img.array
net.imglib2.img.cell
net.imglib2.img.imageplus
net.imglib2.img.list
net.imglib2.img.planar
net.imglib2.img.sparse
net.imglib2.img.unsafe
net.imglib2.util

Uses of ImgFactory in net.imglib2.algorithm.bspline

Subclasses of ImgFactory in net.imglib2.algorithm.bspline
Modifier and Type	Class and Description
`static class`	`BSplineLazyCoefficientsInterpolatorFactory.LazyCellImgFactory<T extends RealType<T>,S extends RealType<S> & NativeType<S>>` Returns an image of coefficients that is lazily evaluated and cached.

Methods in net.imglib2.algorithm.bspline that return ImgFactory
Modifier and Type	Method and Description
`<R> ImgFactory<R>`	BSplineLazyCoefficientsInterpolatorFactory.LazyCellImgFactory.`imgFactory(R type)`

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

Methods in net.imglib2.algorithm.componenttree.mser with parameters of type ImgFactory
Modifier and Type	Method and Description
`static <T extends Type<T>> MserTree<T>`	MserTree.`buildMserTree(RandomAccessibleInterval<T> input, ComputeDelta<T> computeDelta, long minSize, long maxSize, double maxVar, double minDiversity, ImgFactory<LongType> imgFactory, T maxValue, Comparator<T> comparator)` Build a MSER tree from an input image.
`static <T extends RealType<T>> MserTree<T>`	MserTree.`buildMserTree(RandomAccessibleInterval<T> input, T delta, long minSize, long maxSize, double maxVar, double minDiversity, ImgFactory<LongType> imgFactory, boolean darkToBright)` Build a MSER tree from an input image.

Uses of ImgFactory in net.imglib2.algorithm.componenttree.pixellist

Methods in net.imglib2.algorithm.componenttree.pixellist with parameters of type ImgFactory
Modifier and Type	Method and Description
`static <T extends Type<T>> PixelListComponentTree<T>`	PixelListComponentTree.`buildComponentTree(RandomAccessibleInterval<T> input, T maxValue, Comparator<T> comparator, ImgFactory<LongType> imgFactory)` Build a component tree from an input image.
`static <T extends RealType<T>> PixelListComponentTree<T>`	PixelListComponentTree.`buildComponentTree(RandomAccessibleInterval<T> input, T type, ImgFactory<LongType> imgFactory, boolean darkToBright)` Build a component tree from an input image.

Uses of ImgFactory in net.imglib2.algorithm.edge

Methods in net.imglib2.algorithm.edge with parameters of type ImgFactory
Modifier and Type	Method and Description
`static <T extends RealType<T>> ArrayList<Edgel>`	SubpixelEdgelDetection.`getEdgels(RandomAccessibleInterval<T> input, ImgFactory<T> factory, double minGradientMagnitude)` Compute the set of sub-pixel edgels for the input image.

Uses of ImgFactory in net.imglib2.algorithm.fft

Methods in net.imglib2.algorithm.fft that return ImgFactory
Modifier and Type	Method and Description
`ImgFactory<ComplexFloatType>`	FourierConvolution.`fftImgFactory()` Deprecated.
`ImgFactory<T>`	FourierConvolution.`imgFactory()` Deprecated.

Methods in net.imglib2.algorithm.fft with parameters of type ImgFactory
Modifier and Type	Method and Description
`static <T extends RealType<T>,S extends ComplexType<S>> Img<S>`	FFTFunctions.`computeFFT(RandomAccessibleInterval<T> input, ImgFactory<S> imgFactory, S complexType, OutOfBoundsFactory<T,RandomAccessibleInterval<T>> outOfBoundsFactory, int[] imageOffset, int[] imageSize, int numThreads, boolean scale)` Deprecated.
`static <T extends RealType<T>,S extends ComplexType<S>> Img<T>`	FFTFunctions.`computeInverseFFT(RandomAccessibleInterval<S> complex, ImgFactory<T> imgFactory, T type, int numThreads, boolean scale, boolean cropBack, int[] originalSize, int[] originalOffset, float additionalNormalization)` Deprecated.
`static <T extends RealType<T>,S extends RealType<S>> Img<T>`	FourierConvolution.`convolve(RandomAccessibleInterval<T> input, RandomAccessibleInterval<S> kernel, ImgFactory<T> imgFactory, ImgFactory<S> kernelImgFactory, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated.
`static <T extends RealType<T>,S extends RealType<S>> Img<T>`	FourierConvolution.`convolve(RandomAccessibleInterval<T> input, RandomAccessibleInterval<S> kernel, ImgFactory<T> imgFactory, ImgFactory<S> kernelImgFactory, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated.
`static <T extends RealType<T>,S extends RealType<S>> Img<T>`	FourierConvolution.`convolve(RandomAccessibleInterval<T> input, RandomAccessibleInterval<S> kernel, ImgFactory<T> imgFactory, ImgFactory<S> kernelImgFactory, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated.
`static Img<FloatType>`	FourierConvolution.`createGaussianKernel(ImgFactory<FloatType> factory, double[] sigmas)` Deprecated.
`static Img<FloatType>`	FourierConvolution.`createGaussianKernel(ImgFactory<FloatType> factory, double sigma, int numDimensions)` Deprecated.

Constructors in net.imglib2.algorithm.fft with parameters of type ImgFactory
Constructor and Description
`Bandpass(RandomAccessibleInterval<T> input, int beginRadius, int endRadius, ImgFactory<T> imgFactory)` Deprecated.
`FourierConvolution(Img<T> image, Img<S> kernel, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated. Computes a convolution in Fourier space.
`FourierConvolution(RandomAccessibleInterval<T> image, RandomAccessibleInterval<S> kernel, ImgFactory<T> imgFactory, ImgFactory<S> kernelImgFactory, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated. Computes a convolution in Fourier space.
`FourierConvolution(RandomAccessibleInterval<T> image, RandomAccessibleInterval<S> kernel, ImgFactory<T> imgFactory, ImgFactory<S> kernelImgFactory, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated. Computes a convolution in Fourier space.
`FourierConvolution(RandomAccessibleInterval<T> image, RandomAccessibleInterval<S> kernel, ImgFactory<T> imgFactory, ImgFactory<S> kernelImgFactory, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated. Computes a convolution in Fourier space.
`FourierTransform(RandomAccessibleInterval<T> input, ImgFactory<S> imgFactory, S complexType)` Deprecated.
`FourierTransform(RandomAccessibleInterval<T> input, ImgFactory<S> imgFactory, S complexType, FourierTransform.FFTOptimization fftOptimization)` Deprecated.
`FourierTransform(RandomAccessibleInterval<T> input, ImgFactory<S> imgFactory, S complexType, FourierTransform.PreProcessing preProcessing)` Deprecated.
`FourierTransform(RandomAccessibleInterval<T> input, ImgFactory<S> imgFactory, S complexType, FourierTransform.PreProcessing preProcessing, FourierTransform.Rearrangement rearrangement, FourierTransform.FFTOptimization fftOptimization, float relativeImageExtension, float relativeFadeOutDistance, int minExtension)` Deprecated.
`FourierTransform(RandomAccessibleInterval<T> input, ImgFactory<S> imgFactory, S complexType, FourierTransform.Rearrangement rearrangement)` Deprecated.
`FourierTransform(RandomAccessibleInterval<T> input, ImgFactory<S> imgFactory, S complexType, OutOfBoundsFactory<T,RandomAccessibleInterval<T>> outOfBounds)` Deprecated.
`InverseFourierConvolution(Img<T> image, Img<S> kernel, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated.
`InverseFourierConvolution(RandomAccessibleInterval<T> image, RandomAccessibleInterval<S> kernel, ImgFactory<T> imgFactory, ImgFactory<S> kernelImgFactory, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated.
`InverseFourierConvolution(RandomAccessibleInterval<T> image, RandomAccessibleInterval<S> kernel, ImgFactory<T> imgFactory, ImgFactory<S> kernelImgFactory, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated.
`InverseFourierConvolution(RandomAccessibleInterval<T> image, RandomAccessibleInterval<S> kernel, ImgFactory<T> imgFactory, ImgFactory<S> kernelImgFactory, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated.
`InverseFourierTransform(RandomAccessibleInterval<S> fftImage, ImgFactory<T> imgFactory, FourierTransform<?,?> forwardTransform, T type)` Deprecated. This inverse FFT can be only done in place, i.e.
`InverseFourierTransform(RandomAccessibleInterval<S> fftImage, ImgFactory<T> imgFactory, FourierTransform<T,?> forwardTransform)` Deprecated. This inverse FFT is computed in place, i.e.
`InverseFourierTransform(RandomAccessibleInterval<S> fftImage, ImgFactory<T> imgFactory, T type)` Deprecated. This inverse FFT can be only done in place, i.e.
`InverseFourierTransform(RandomAccessibleInterval<S> fftImage, ImgFactory<T> imgFactory, T type, FourierTransform.Rearrangement rearrangement, boolean scale, boolean cropBack, int[] originalSize, int[] originalOffset)` Deprecated.

Uses of ImgFactory in net.imglib2.algorithm.fft2

Methods in net.imglib2.algorithm.fft2 that return ImgFactory
Modifier and Type	Method and Description
`ImgFactory<ComplexFloatType>`	FFTConvolution.`fftImgFactory()`
`protected static ImgFactory<ComplexFloatType>`	FFTConvolution.`getFFTFactory(Img<? extends RealType<?>> img)`

Methods in net.imglib2.algorithm.fft2 with parameters of type ImgFactory
Modifier and Type	Method and Description
`static <C extends ComplexType<C>,R extends RealType<R>> Img<R>`	FFT.`complexToReal(RandomAccessible<C> input, Interval inputInterval, ImgFactory<R> factory, R type)`
`static <C extends ComplexType<C>,R extends RealType<R>> Img<R>`	FFT.`complexToReal(RandomAccessible<C> input, Interval inputInterval, ImgFactory<R> factory, R type, ExecutorService service)`
`static <C extends ComplexType<C>,R extends RealType<R>> Img<R>`	FFT.`complexToReal(RandomAccessible<C> input, Interval inputInterval, ImgFactory<R> factory, R type, int numThreads)`
`static <C extends ComplexType<C>,R extends RealType<R>> Img<R>`	FFT.`complexToReal(RandomAccessible<C> input, Interval inputInterval, Interval outputDimensions, ImgFactory<R> factory, ExecutorService service)`
`static <C extends ComplexType<C>,R extends RealType<R>> Img<R>`	FFT.`complexToReal(RandomAccessible<C> input, Interval inputInterval, Interval outputDimensions, ImgFactory<R> factory, R type)`
`static <C extends ComplexType<C>,R extends RealType<R>> Img<R>`	FFT.`complexToReal(RandomAccessible<C> input, Interval inputInterval, Interval outputDimensions, ImgFactory<R> factory, R type, ExecutorService service)` Deprecated. Use `FFT.complexToReal(RandomAccessible, Interval,Interval, ImgFactory, ExecutorService)` instead.
`static <C extends ComplexType<C>,R extends RealType<R>> Img<R>`	FFT.`complexToReal(RandomAccessible<C> input, Interval inputInterval, Interval outputDimensions, ImgFactory<R> factory, R type, int numThreads)`
`static <C extends ComplexType<C>,R extends RealType<R>> Img<R>`	FFT.`complexToReal(RandomAccessibleInterval<C> input, ImgFactory<R> factory, R type)`
`static <C extends ComplexType<C>,R extends RealType<R>> Img<R>`	FFT.`complexToReal(RandomAccessibleInterval<C> input, ImgFactory<R> factory, R type, ExecutorService service)`
`static <C extends ComplexType<C>,R extends RealType<R>> Img<R>`	FFT.`complexToReal(RandomAccessibleInterval<C> input, ImgFactory<R> factory, R type, int numThreads)`
`static <C extends ComplexType<C>,R extends RealType<R>> Img<R>`	FFT.`complexToReal(RandomAccessibleInterval<C> input, Interval outputDimensions, ImgFactory<R> factory, R type)`
`static <C extends ComplexType<C>,R extends RealType<R>> Img<R>`	FFT.`complexToReal(RandomAccessibleInterval<C> input, Interval outputDimensions, ImgFactory<R> factory, R type, ExecutorService service)`
`static <C extends ComplexType<C>,R extends RealType<R>> Img<R>`	FFT.`complexToReal(RandomAccessibleInterval<C> input, Interval outputDimensions, ImgFactory<R> factory, R type, int numThreads)`
`static <R extends RealType<R>> Img<ComplexFloatType>`	FFTConvolution.`computeImgFFT(Interval imgConvolutionInterval, RandomAccessible<R> img, ImgFactory<ComplexFloatType> fftFactory, ExecutorService service)`
`static <R extends RealType<R>> Img<ComplexFloatType>`	FFTConvolution.`computeKernelFFT(Interval kernelConvolutionInterval, long[] min, long[] max, boolean complexConjugate, RandomAccessible<R> kernel, ImgFactory<ComplexFloatType> fftFactory, ExecutorService service)`
`static <R extends RealType<R>> void`	FFTConvolution.`convolve(RandomAccessible<R> img, Interval imgInterval, RandomAccessible<R> kernel, Interval kernelInterval, RandomAccessibleInterval<R> output, ImgFactory<ComplexFloatType> factory, boolean div, ExecutorService service)`
`static <R extends RealType<R>,C extends ComplexType<C>> Img<C>`	FFT.`realToComplex(RandomAccessible<R> input, Interval inputInterval, ImgFactory<C> factory, C type)`
`static <R extends RealType<R>,C extends ComplexType<C>> Img<C>`	FFT.`realToComplex(RandomAccessible<R> input, Interval inputInterval, ImgFactory<C> factory, C type, ExecutorService service)` Deprecated. Use `FFT.realToComplex(RandomAccessible, Interval, ImgFactory, ExecutorService)` instead.
`static <R extends RealType<R>,C extends ComplexType<C>> Img<C>`	FFT.`realToComplex(RandomAccessible<R> input, Interval inputInterval, ImgFactory<C> factory, C type, int numThreads)`
`static <R extends RealType<R>,C extends ComplexType<C>> Img<C>`	FFT.`realToComplex(RandomAccessible<R> input, Interval inputInterval, ImgFactory<C> factory, ExecutorService service)`
`static <R extends RealType<R>> Img<ComplexFloatType>`	FFT.`realToComplex(RandomAccessibleInterval<R> input, ImgFactory<ComplexFloatType> factory)`
`static <R extends RealType<R>> Img<ComplexFloatType>`	FFT.`realToComplex(RandomAccessibleInterval<R> input, ImgFactory<ComplexFloatType> factory, ExecutorService service)`
`static <R extends RealType<R>> Img<ComplexFloatType>`	FFT.`realToComplex(RandomAccessibleInterval<R> input, ImgFactory<ComplexFloatType> factory, int numThreads)`
`static <R extends RealType<R>> Img<ComplexFloatType>`	FFT.`realToComplex(RandomAccessibleInterval<R> input, OutOfBoundsFactory<R,RandomAccessibleInterval<R>> oobs, ImgFactory<ComplexFloatType> factory)`
`static <R extends RealType<R>> Img<ComplexFloatType>`	FFT.`realToComplex(RandomAccessibleInterval<R> input, OutOfBoundsFactory<R,RandomAccessibleInterval<R>> oobs, ImgFactory<ComplexFloatType> factory, ExecutorService service)`
`static <R extends RealType<R>> Img<ComplexFloatType>`	FFT.`realToComplex(RandomAccessibleInterval<R> input, OutOfBoundsFactory<R,RandomAccessibleInterval<R>> oobs, ImgFactory<ComplexFloatType> factory, int numThreads)`
`void`	FFTConvolution.`setFFTImgFactory(ImgFactory<ComplexFloatType> factory)`

Constructors in net.imglib2.algorithm.fft2 with parameters of type ImgFactory
Constructor and Description
`FFTConvolution(RandomAccessible<R> img, Interval imgInterval, RandomAccessible<R> kernel, Interval kernelInterval, ImgFactory<ComplexFloatType> factory)` Compute a Fourier space based convolution in-place (img will be replaced by the convolved result).
`FFTConvolution(RandomAccessible<R> img, Interval imgInterval, RandomAccessible<R> kernel, Interval kernelInterval, ImgFactory<ComplexFloatType> factory, ExecutorService service)` Compute a Fourier space based convolution in-place (img will be replaced by the convolved result).
`FFTConvolution(RandomAccessible<R> img, Interval imgInterval, RandomAccessible<R> kernel, Interval kernelInterval, RandomAccessibleInterval<R> output, ImgFactory<ComplexFloatType> factory)` Compute a Fourier space based convolution.
`FFTConvolution(RandomAccessible<R> img, Interval imgInterval, RandomAccessible<R> kernel, Interval kernelInterval, RandomAccessibleInterval<R> output, ImgFactory<ComplexFloatType> factory, ExecutorService service)` Compute a Fourier space based convolution.
`FFTConvolution(RandomAccessibleInterval<R> img, RandomAccessibleInterval<R> kernel, ImgFactory<ComplexFloatType> factory)` Compute a Fourier space based convolution in-place (img will be replaced by the convolved result).
`FFTConvolution(RandomAccessibleInterval<R> img, RandomAccessibleInterval<R> kernel, ImgFactory<ComplexFloatType> factory, ExecutorService service)` Compute a Fourier space based convolution in-place (img will be replaced by the convolved result).
`FFTConvolution(RandomAccessibleInterval<R> img, RandomAccessibleInterval<R> kernel, RandomAccessibleInterval<R> output, ImgFactory<ComplexFloatType> factory)` Compute a Fourier space based convolution The image will be extended by mirroring with single boundary, the kernel will be zero-padded.
`FFTConvolution(RandomAccessibleInterval<R> img, RandomAccessibleInterval<R> kernel, RandomAccessibleInterval<R> output, ImgFactory<ComplexFloatType> factory, ExecutorService service)` Compute a Fourier space based convolution The image will be extended by mirroring with single boundary, the kernel will be zero-padded.

Uses of ImgFactory in net.imglib2.algorithm.gauss

Methods in net.imglib2.algorithm.gauss that return ImgFactory
Modifier and Type	Method and Description
`ImgFactory<T>`	AbstractGauss.`getFactory()`

Methods in net.imglib2.algorithm.gauss with parameters of type ImgFactory
Modifier and Type	Method and Description
`static Img<DoubleType>`	GaussDouble.`gauss(double[] sigma, RandomAccessible<DoubleType> input, Interval interval, ImgFactory<DoubleType> factory)` Deprecated.
`static void`	GaussDouble.`gauss(double[] sigma, RandomAccessible<DoubleType> input, Interval interval, RandomAccessible<DoubleType> output, Localizable outputOffset, ImgFactory<DoubleType> factory)` Deprecated.
`static Img<FloatType>`	GaussFloat.`gauss(double[] sigma, RandomAccessible<FloatType> input, Interval interval, ImgFactory<FloatType> factory)` Deprecated.
`static void`	GaussFloat.`gauss(double[] sigma, RandomAccessible<FloatType> input, Interval interval, RandomAccessible<FloatType> output, Localizable outputOffset, ImgFactory<FloatType> factory)` Deprecated.
`static <T extends RealType<T>> void`	Gauss.`inDouble(double[] sigma, RandomAccessible<T> img, Interval interval, RandomAccessible<T> output, Localizable origin, ImgFactory<DoubleType> imgFactory)` Deprecated. Computes a Gaussian convolution with double precision on an infinite `RandomAccessible`
`static <T extends RealType<T>> void`	Gauss.`inDouble(double sigma, RandomAccessible<T> img, Interval interval, RandomAccessible<T> output, Localizable origin, ImgFactory<DoubleType> imgFactory)` Deprecated. Computes a Gaussian convolution with double precision on an infinite `RandomAccessible`
`static <T extends RealType<T>> void`	Gauss.`inFloat(double[] sigma, RandomAccessible<T> img, Interval interval, RandomAccessible<T> output, Localizable origin, ImgFactory<FloatType> imgFactory)` Deprecated. Computes a Gaussian convolution with float precision on an infinite `RandomAccessible`
`static <T extends RealType<T>> void`	Gauss.`inFloat(double sigma, RandomAccessible<T> img, Interval interval, RandomAccessible<T> output, Localizable origin, ImgFactory<FloatType> imgFactory)` Deprecated. Computes a Gaussian convolution with float precision on an infinite `RandomAccessible`
`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.`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`

Constructors in net.imglib2.algorithm.gauss with parameters of type ImgFactory
Constructor and Description
`AbstractGauss(double[] sigma, RandomAccessible<T> input, Interval inputInterval, RandomAccessible<T> output, Localizable outputOffset, ImgFactory<T> factory, T type)`
`GaussDouble(double[] sigma, RandomAccessible<DoubleType> input, Interval interval, ImgFactory<DoubleType> factory)` 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[] sigma, RandomAccessible<DoubleType> input, Interval interval, RandomAccessible<DoubleType> output, Localizable outputOffset, ImgFactory<DoubleType> factory)` 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
`GaussFloat(double[] sigma, RandomAccessible<FloatType> input, Interval interval, ImgFactory<FloatType> factory)` 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[] sigma, RandomAccessible<FloatType> input, Interval interval, RandomAccessible<FloatType> output, Localizable outputOffset, ImgFactory<FloatType> factory)` 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
`GaussGeneral(double[] sigma, RandomAccessible<T> input, Interval interval, ImgFactory<T> factory, T type)` 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[] sigma, RandomAccessible<T> input, Interval interval, RandomAccessible<T> output, Localizable outputOffset, ImgFactory<T> factory, T type)` 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`.
`GaussNativeType(double[] sigma, RandomAccessible<T> input, Interval interval, ImgFactory<T> factory, T type)` 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[] sigma, RandomAccessible<T> input, Interval interval, RandomAccessible<T> output, Localizable outputOffset, ImgFactory<T> factory, T type)` 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

Uses of ImgFactory in net.imglib2.algorithm.gauss3

Methods in net.imglib2.algorithm.gauss3 with parameters of type ImgFactory
Modifier and Type	Method and Description
`static <S,I,T> void`	SeparableSymmetricConvolution.`convolve(double[][] halfkernels, RandomAccessible<S> source, RandomAccessibleInterval<T> target, ConvolverFactory<S,I> convolverFactorySI, ConvolverFactory<I,I> convolverFactoryII, ConvolverFactory<I,T> convolverFactoryIT, ConvolverFactory<S,T> convolverFactoryST, ImgFactory<I> imgFactory, ExecutorService service)` 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`.
`static <S,I,T> void`	SeparableSymmetricConvolution.`convolve(double[][] halfkernels, RandomAccessible<S> source, RandomAccessibleInterval<T> target, ConvolverFactory<S,I> convolverFactorySI, ConvolverFactory<I,I> convolverFactoryII, ConvolverFactory<I,T> convolverFactoryIT, ConvolverFactory<S,T> convolverFactoryST, ImgFactory<I> imgFactory, I type, ExecutorService service)` Deprecated. Use `SeparableSymmetricConvolution.convolve( double[][], RandomAccessible, RandomAccessibleInterval, ConvolverFactory, ConvolverFactory, ConvolverFactory, ConvolverFactory, ImgFactory, ExecutorService)` instead.

Uses of ImgFactory in net.imglib2.algorithm.integral

Fields in net.imglib2.algorithm.integral declared as ImgFactory
Modifier and Type	Field and Description
`protected ImgFactory<R>`	ScaleAreaAveraging2d.`imgFactory`

Constructors in net.imglib2.algorithm.integral with parameters of type ImgFactory
Constructor and Description
`ScaleAreaAveraging2d(RandomAccessibleInterval<T> integralImg, R targetType, Converter<T,R> converter, long[] size, ImgFactory<R> imgFactory)`
`ScaleAreaAveraging2d(RandomAccessibleInterval<T> integralImg, R targetType, long[] size, ImgFactory<R> imgFactory)`

Uses of ImgFactory in net.imglib2.algorithm.interpolation.randomaccess

Constructors in net.imglib2.algorithm.interpolation.randomaccess with parameters of type ImgFactory
Constructor and Description
`BSplineCoefficientsInterpolatorFactory(RandomAccessible<T> img, Interval interval, int order, boolean clipping, ImgFactory<S> coefficientFactory, OutOfBoundsFactory<? extends RealType<?>,?> oobFactory)` Creates a new `BSplineCoefficientsInterpolatorFactory` using the BSpline interpolation in a certain window

Uses of ImgFactory in net.imglib2.algorithm.linalg.eigen

Methods in net.imglib2.algorithm.linalg.eigen with parameters of type ImgFactory
Modifier and Type	Method and Description
`static <T extends RealType<T>,U extends RealType<U>> Img<U>`	TensorEigenValues.`createAppropriateResultImg(RandomAccessibleInterval<T> tensor, ImgFactory<U> factory)` Create appropriately sized image for tensor input.
`static <T extends RealType<T>,U extends RealType<U>> Img<U>`	TensorEigenValues.`createAppropriateResultImg(RandomAccessibleInterval<T> tensor, ImgFactory<U> factory, U u)` Deprecated. Use `TensorEigenValues.createAppropriateResultImg(RandomAccessibleInterval, ImgFactory)` instead.

Uses of ImgFactory in net.imglib2.algorithm.pde

Fields in net.imglib2.algorithm.pde declared as ImgFactory
Modifier and Type	Field and Description
`protected ImgFactory<FloatType>`	ExplicitDiffusionScheme.`imgFactory`

Methods in net.imglib2.algorithm.pde with parameters of type ImgFactory
Modifier and Type	Method and Description
`protected static <T extends RealType<T>> Img<FloatType>`	PeronaMalikAnisotropicDiffusion.`copy(RandomAccessibleInterval<T> input, ImgFactory<FloatType> factory)` Makes a copy of the `RandomAccessibleInterval` into a new `Img` of `FloatType`.
`static <T extends RealType<T>> void`	PeronaMalikAnisotropicDiffusion.`inFloatInPlace(RandomAccessibleInterval<T> input, ImgFactory<FloatType> factory, double deltat, double kappa)`
`static <T extends RealType<T>> void`	PeronaMalikAnisotropicDiffusion.`inFloatInPlace(RandomAccessibleInterval<T> input, ImgFactory<FloatType> factory, double deltat, PeronaMalikAnisotropicDiffusion.DiffusionFunction function)`
`static <T extends RealType<T>> Img<FloatType>`	PeronaMalikAnisotropicDiffusion.`toFloat(RandomAccessibleInterval<T> input, ImgFactory<FloatType> factory, double deltat, double kappa)`
`static <T extends RealType<T>> Img<FloatType>`	PeronaMalikAnisotropicDiffusion.`toFloat(RandomAccessibleInterval<T> input, ImgFactory<FloatType> factory, double deltat, PeronaMalikAnisotropicDiffusion.DiffusionFunction function)`

Constructors in net.imglib2.algorithm.pde with parameters of type ImgFactory
Constructor and Description
`ExplicitDiffusionScheme(RandomAccessibleInterval<T> input, RandomAccessibleInterval<FloatType> D, ImgFactory<FloatType> imgFactory)`
`ExplicitDiffusionScheme2D(RandomAccessibleInterval<T> input, RandomAccessibleInterval<FloatType> D, ImgFactory<FloatType> imgFactory)`
`ExplicitDiffusionScheme3D(RandomAccessibleInterval<T> input, RandomAccessibleInterval<FloatType> D, ImgFactory<FloatType> imgFactory)`
`Gradient(RandomAccessibleInterval<T> input, ImgFactory<FloatType> imgFactory, boolean[] doDimension)`
`MomentOfInertiaTensor2D(RandomAccessibleInterval<T> input, ImgFactory<FloatType> imgFactory, int scale)`
`MomentOfInertiaTensor2D(RandomAccessibleInterval<T> input, ImgFactory<FloatType> imgFactory, int scale, double epsilon_1, double epsilon_2)`
`MomentOfInertiaTensor3D(RandomAccessibleInterval<T> input, ImgFactory<FloatType> imgFactory, int scale)`
`MomentOfInertiaTensor3D(RandomAccessibleInterval<T> input, ImgFactory<FloatType> imgFactory, int scale, double epsilon_1, double epsilon_2)`
`NonNegativityDiffusionScheme2D(RandomAccessibleInterval<T> input, RandomAccessibleInterval<FloatType> D, ImgFactory<FloatType> imgFactory)`
`NonNegativityDiffusionScheme2D(RandomAccessibleInterval<T> input, RandomAccessibleInterval<FloatType> D, ImgFactory<FloatType> imgFactory, float dt)`
`NonNegativityDiffusionScheme3D(RandomAccessibleInterval<T> input, RandomAccessibleInterval<FloatType> D, ImgFactory<FloatType> imgFactory)`
`NonNegativityDiffusionScheme3D(RandomAccessibleInterval<T> input, RandomAccessibleInterval<FloatType> D, ImgFactory<FloatType> imgFactory, float dt)`
`PeronaMalikAnisotropicDiffusion(RandomAccessibleInterval<T> image, ImgFactory<FloatType> factory, double deltat, double kappa)` Instantiate the Perona & Malik anisotropic diffusion process, with the default strong-edge diffusion function.
`PeronaMalikAnisotropicDiffusion(RandomAccessibleInterval<T> image, ImgFactory<FloatType> factory, double deltat, PeronaMalikAnisotropicDiffusion.DiffusionFunction function)` Instantiate the Perona & Malik anisotropic diffusion process, with a custom diffusion function.
`StandardDiffusionScheme3D(RandomAccessibleInterval<T> input, RandomAccessibleInterval<FloatType> D, ImgFactory<FloatType> imgFactory)`
`StandardDiffusionScheme3D(RandomAccessibleInterval<T> input, RandomAccessibleInterval<FloatType> D, ImgFactory<FloatType> imgFactory, float dt)`

Uses of ImgFactory in net.imglib2.algorithm.transformation

Methods in net.imglib2.algorithm.transformation that return ImgFactory
Modifier and Type	Method and Description
`ImgFactory<T>`	ImageTransform.`getOutputContainerFactory()` Deprecated. Use `ImageTransform.getOutputImgFactory()` instead.
`ImgFactory<T>`	ImageTransform.`getOutputImgFactory()`

Methods in net.imglib2.algorithm.transformation with parameters of type ImgFactory
Modifier and Type	Method and Description
`void`	ImageTransform.`setOutputContainerFactory(ImgFactory<T> outputContainerFactory)` Deprecated. Use `ImageTransform.setOutputImgFactory(ImgFactory)` instead.
`void`	ImageTransform.`setOutputImgFactory(ImgFactory<T> outputImgFactory)` Set the image factory which will be used for output.

Constructors in net.imglib2.algorithm.transformation with parameters of type ImgFactory
Constructor and Description
`ImageTransform(RandomAccessible<T> input, Interval interval, InvertibleBoundable transform, InterpolatorFactory<T,RandomAccessible<T>> interpolatorFactory, ImgFactory<T> outImgFactory)`

Uses of ImgFactory in net.imglib2.cache.img

Subclasses of ImgFactory in net.imglib2.cache.img
Modifier and Type	Class and Description
`class`	`DiskCachedCellImgFactory<T extends NativeType<T>>` Factory for creating `DiskCachedCellImg`s.

Methods in net.imglib2.cache.img that return ImgFactory
Modifier and Type	Method and Description
`ImgFactory<T>`	SingleCellArrayImg.`factory()`
`ImgFactory<T>`	DiskCachedCellImg.`factory()`
`ImgFactory<T>`	CachedCellImg.`factory()`
`<S> ImgFactory<S>`	DiskCachedCellImgFactory.`imgFactory(S type)`

Uses of ImgFactory in net.imglib2.histogram

Methods in net.imglib2.histogram that return ImgFactory
Modifier and Type	Method and Description
`ImgFactory<LongType>`	HistogramNd.`factory()`
`ImgFactory<LongType>`	Histogram1d.`factory()`
`ImgFactory<LongType>`	DiscreteFrequencyDistribution.`factory()`

Uses of ImgFactory in net.imglib2.img

Subclasses of ImgFactory in net.imglib2.img
Modifier and Type	Class and Description
`class`	`NativeImgFactory<T extends NativeType<T>>` TODO: get rid of `NativeImgFactory`???
`class`	`NativeLongAccessImgFactory<T extends NativeLongAccessType<T>>` TODO

Methods in net.imglib2.img that return ImgFactory
Modifier and Type	Method and Description
`ImgFactory<T>`	ImgView.`factory()`
`ImgFactory<T>`	Img.`factory()` Get a `ImgFactory` that creates `Img`s of the same kind as this one.
`abstract <S> ImgFactory<S>`	ImgFactory.`imgFactory(S type)` Creates the same `ImgFactory` for a different generic parameter if possible.
`<S> ImgFactory<S>`	ImgFactory.`imgFactory(Supplier<S> typeSupplier)` Creates the same `ImgFactory` for a different generic parameter if possible.

Methods in net.imglib2.img with parameters of type ImgFactory
Modifier and Type	Method and Description
`static <T extends Type<T>> Img<T>`	ImgView.`wrap(RandomAccessibleInterval<T> accessible, ImgFactory<T> factory)` Represent an arbitrary `RandomAccessibleInterval` as an `Img`.

Constructors in net.imglib2.img with parameters of type ImgFactory
Constructor and Description
`ImgView(RandomAccessibleInterval<T> in, ImgFactory<T> fac)` Deprecated.

Uses of ImgFactory in net.imglib2.img.array

Subclasses of ImgFactory in net.imglib2.img.array
Modifier and Type	Class and Description
`class`	`ArrayImgFactory<T extends NativeType<T>>` Factory for `ArrayImg`s.

Methods in net.imglib2.img.array that return ImgFactory
Modifier and Type	Method and Description
`<S> ImgFactory<S>`	ArrayImgFactory.`imgFactory(S type)`

Uses of ImgFactory in net.imglib2.img.cell

Subclasses of ImgFactory in net.imglib2.img.cell
Modifier and Type	Class and Description
`class`	`CellImgFactory<T extends NativeType<T>>` Factory for creating `CellImgs`.

Methods in net.imglib2.img.cell that return ImgFactory
Modifier and Type	Method and Description
`ImgFactory<T>`	LazyCellImg.`factory()`
`ImgFactory<T>`	LazyCellImg.LazyCells.`factory()`
`ImgFactory<T>`	CellImg.`factory()`
`<S> ImgFactory<S>`	CellImgFactory.`imgFactory(S type)`

Uses of ImgFactory in net.imglib2.img.imageplus

Subclasses of ImgFactory in net.imglib2.img.imageplus
Modifier and Type	Class and Description
`class`	`ImagePlusImgFactory<T extends NativeType<T>>` Factory that creates an appropriate `ImagePlusImg`.

Methods in net.imglib2.img.imageplus that return ImgFactory
Modifier and Type	Method and Description
`<S> ImgFactory<S>`	ImagePlusImgFactory.`imgFactory(S type)`

Uses of ImgFactory in net.imglib2.img.list

Subclasses of ImgFactory in net.imglib2.img.list
Modifier and Type	Class and Description
`class`	`ListImgFactory<T>` `ImgFactory` for `ListImg` of any type T.

Methods in net.imglib2.img.list that return ImgFactory
Modifier and Type	Method and Description
`<S> ImgFactory<S>`	ListImgFactory.`imgFactory(S type)`

Uses of ImgFactory in net.imglib2.img.planar

Subclasses of ImgFactory in net.imglib2.img.planar
Modifier and Type	Class and Description
`class`	`PlanarImgFactory<T extends NativeType<T>>` Factory that creates an appropriate `PlanarImg`.

Methods in net.imglib2.img.planar that return ImgFactory
Modifier and Type	Method and Description
`<S> ImgFactory<S>`	PlanarImgFactory.`imgFactory(S type)`

Uses of ImgFactory in net.imglib2.img.sparse

Subclasses of ImgFactory in net.imglib2.img.sparse
Modifier and Type	Class and Description
`class`	`NtreeImgFactory<T extends NativeType<T>>`

Methods in net.imglib2.img.sparse that return ImgFactory
Modifier and Type	Method and Description
`ImgFactory<T>`	NtreeImg.`factory()`
`<S> ImgFactory<S>`	NtreeImgFactory.`imgFactory(S type)`

Uses of ImgFactory in net.imglib2.img.unsafe

Subclasses of ImgFactory in net.imglib2.img.unsafe
Modifier and Type	Class and Description
`class`	`UnsafeImgFactory<T extends NativeLongAccessType<T>>`

Methods in net.imglib2.img.unsafe that return ImgFactory
Modifier and Type	Method and Description
`<S> ImgFactory<S>`	UnsafeImgFactory.`imgFactory(S type)`

Uses of ImgFactory in net.imglib2.util

Methods in net.imglib2.util that return ImgFactory
Modifier and Type	Method and Description
`static <T extends NativeType<T>> ImgFactory<T>`	Util.`getArrayOrCellImgFactory(Dimensions targetSize, int targetCellSize, T type)` Create an `ArrayImgFactory` if an image of the requested `targetSize` could be held in an `ArrayImg`.
`static <T extends NativeType<T>> ImgFactory<T>`	Util.`getArrayOrCellImgFactory(Dimensions targetSize, T type)` Create an `ArrayImgFactory` if an image of the requested `targetSize` could be held in an `ArrayImg`.
`static <T> ImgFactory<T>`	Util.`getSuitableImgFactory(Dimensions targetSize, T type)` Create an appropriate `ImgFactory` for the requested `targetSize` and `type`.

Uses of Classnet.imglib2.img.ImgFactory

Uses of ImgFactory in net.imglib2.algorithm.bspline

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

Uses of ImgFactory in net.imglib2.algorithm.componenttree.pixellist

Uses of ImgFactory in net.imglib2.algorithm.edge

Uses of ImgFactory in net.imglib2.algorithm.fft

Uses of ImgFactory in net.imglib2.algorithm.fft2

Uses of ImgFactory in net.imglib2.algorithm.gauss

Uses of ImgFactory in net.imglib2.algorithm.gauss3

Uses of ImgFactory in net.imglib2.algorithm.integral

Uses of ImgFactory in net.imglib2.algorithm.interpolation.randomaccess

Uses of ImgFactory in net.imglib2.algorithm.linalg.eigen

Uses of ImgFactory in net.imglib2.algorithm.pde

Uses of ImgFactory in net.imglib2.algorithm.transformation

Uses of ImgFactory in net.imglib2.cache.img

Uses of ImgFactory in net.imglib2.histogram

Uses of ImgFactory in net.imglib2.img

Uses of ImgFactory in net.imglib2.img.array

Uses of ImgFactory in net.imglib2.img.cell

Uses of ImgFactory in net.imglib2.img.imageplus

Uses of ImgFactory in net.imglib2.img.list

Uses of ImgFactory in net.imglib2.img.planar

Uses of ImgFactory in net.imglib2.img.sparse

Uses of ImgFactory in net.imglib2.img.unsafe

Uses of ImgFactory in net.imglib2.util

Uses of Class
net.imglib2.img.ImgFactory