Uses of Interface net.imglib2.img.Img (ImgLib2 Javadocs 0-SNAPSHOT API)

Packages that use Img
Package	Description
net.imglib2.algorithm.binary
net.imglib2.algorithm.bspline
net.imglib2.algorithm.fft
net.imglib2.algorithm.fft2
net.imglib2.algorithm.floydsteinberg
net.imglib2.algorithm.gauss
net.imglib2.algorithm.integral
net.imglib2.algorithm.linalg.eigen
net.imglib2.algorithm.math
net.imglib2.algorithm.morphology
net.imglib2.algorithm.morphology.table2d
net.imglib2.algorithm.pde
net.imglib2.algorithm.stats
net.imglib2.algorithm.transformation
net.imglib2.cache.img
net.imglib2.display.screenimage.awt
net.imglib2.histogram
net.imglib2.img
net.imglib2.img.array
net.imglib2.img.cell
net.imglib2.img.display.imagej
net.imglib2.img.imageplus
net.imglib2.img.io
net.imglib2.img.list
net.imglib2.img.planar
net.imglib2.img.sparse
net.imglib2.img.unsafe
net.imglib2.labeling
net.imglib2.test
net.imglib2.util

Uses of Img in net.imglib2.algorithm.binary

Methods in net.imglib2.algorithm.binary that return Img
Modifier and Type	Method and Description
`static <T extends Type<T> & Comparable<T>> Img<BitType>`	Thresholder.`threshold(Img<T> source, T threshold, boolean above, int numThreads)` Returns a new boolean `Img` generated by thresholding the values of the source image.

Methods in net.imglib2.algorithm.binary with parameters of type Img
Modifier and Type	Method and Description
`static <T extends Type<T> & Comparable<T>> Img<BitType>`	Thresholder.`threshold(Img<T> source, T threshold, boolean above, int numThreads)` Returns a new boolean `Img` generated by thresholding the values of the source image.

Uses of Img in net.imglib2.algorithm.bspline

Methods in net.imglib2.algorithm.bspline that return Img
Modifier and Type	Method and Description
`Img<S>`	BSplineLazyCoefficientsInterpolatorFactory.LazyCellImgFactory.`create(long... dimensions)`
`Img<S>`	BSplineLazyCoefficientsInterpolatorFactory.LazyCellImgFactory.`create(long[] dim, S type)`

Uses of Img in net.imglib2.algorithm.fft

Methods in net.imglib2.algorithm.fft that return Img
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(Img<T> img, Img<S> kernel)` 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.
`Img<T>`	InverseFourierTransform.`getResult()` Deprecated.
`Img<S>`	FourierTransform.`getResult()` Deprecated.
`Img<T>`	FourierConvolution.`getResult()` Deprecated.

Methods in net.imglib2.algorithm.fft with parameters of type Img
Modifier and Type	Method and Description
`static <T extends RealType<T>,S extends RealType<S>> Img<T>`	FourierConvolution.`convolve(Img<T> img, Img<S> kernel)` Deprecated.
`static <T extends RealType<T>,S extends RealType<S>> Img<T>`	FourierConvolution.`convolve(Img<T> img, Img<S> kernel)` Deprecated.

Constructors in net.imglib2.algorithm.fft with parameters of type Img
Constructor and Description
`Bandpass(Img<T> img, int beginRadius, int endRadius)` Deprecated.
`FourierConvolution(Img<T> image, Img<S> kernel)` Deprecated. Computes a convolution in Fourier space.
`FourierConvolution(Img<T> image, Img<S> kernel)` Deprecated. Computes a convolution in Fourier space.
`FourierConvolution(Img<T> image, Img<S> kernel, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated. Computes a convolution in Fourier space.
`FourierConvolution(Img<T> image, Img<S> kernel, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated. Computes a convolution in Fourier space.
`FourierTransform(Img<T> input, S complexType)` Deprecated.
`FourierTransform(Img<T> input, S complexType, FourierTransform.FFTOptimization fftOptimization)` Deprecated.
`FourierTransform(Img<T> input, S complexType, FourierTransform.PreProcessing preProcessing)` Deprecated.
`FourierTransform(Img<T> input, S complexType, FourierTransform.Rearrangement rearrangement)` Deprecated.
`FourierTransform(Img<T> input, S complexType, OutOfBoundsFactory<T,RandomAccessibleInterval<T>> outOfBounds)` Deprecated.
`InverseFourierConvolution(Img<T> image, Img<S> kernel)` Deprecated.
`InverseFourierConvolution(Img<T> image, Img<S> kernel)` Deprecated.
`InverseFourierConvolution(Img<T> image, Img<S> kernel, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated.
`InverseFourierConvolution(Img<T> image, Img<S> kernel, ImgFactory<ComplexFloatType> fftImgFactory)` Deprecated.
`InverseFourierTransform(Img<S> fftImage, FourierTransform<?,?> forwardTransform, T type)` Deprecated. This inverse FFT can be only done in place, if desired.
`InverseFourierTransform(Img<S> fftImage, FourierTransform<T,?> forwardTransform)` Deprecated. This inverse FFT can be only done in place, if desired.
`InverseFourierTransform(Img<S> fftImage, T type)` Deprecated. This inverse FFT can be only done in place, if desired.

Uses of Img in net.imglib2.algorithm.fft2

Methods in net.imglib2.algorithm.fft2 that return Img
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)`
`Img<ComplexFloatType>`	FFTConvolution.`imgFFT()`
`Img<ComplexFloatType>`	FFTConvolution.`kernelFFT()`
`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)`

Methods in net.imglib2.algorithm.fft2 with parameters of type Img
Modifier and Type	Method and Description
`static <R extends RealType<R>> void`	FFTConvolution.`computeConvolution(Img<ComplexFloatType> fftImg, Img<ComplexFloatType> fftKernel, RandomAccessibleInterval<R> output, boolean keepImgFFT, boolean div, ExecutorService service)`
`static <R extends RealType<R>> void`	FFTConvolution.`computeConvolution(Img<ComplexFloatType> fftImg, Img<ComplexFloatType> fftKernel, RandomAccessibleInterval<R> output, boolean keepImgFFT, boolean div, ExecutorService service)`
`protected static ImgFactory<ComplexFloatType>`	FFTConvolution.`getFFTFactory(Img<? extends RealType<?>> img)`
`static void`	FFTConvolution.`multiplyDivideComplex(Img<ComplexFloatType> img, Img<ComplexFloatType> kernel, boolean div)`
`static void`	FFTConvolution.`multiplyDivideComplex(Img<ComplexFloatType> img, Img<ComplexFloatType> kernel, boolean div)`
`void`	FFTConvolution.`setImgFFT(Img<ComplexFloatType> fftImg)` Sets the FFT image as computed, be very careful with this method, if any parameters of the FFT are wrong, this will fail WARNING: if you do not set keepImgFFT, this image will be modified during convolution
`void`	FFTConvolution.`setKernelFFT(Img<ComplexFloatType> fftKernel)` Sets the FFT kernel as computed, be very careful with this method, if any parameters of the FFT are wrong, this will fail

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

Methods in net.imglib2.algorithm.floydsteinberg that return Img
Modifier and Type	Method and Description
`Img<FloatType>`	FloydSteinbergDithering.`createErrorDiffusionKernel(int numDimensions)`
`Img<BitType>`	FloydSteinbergDithering.`getResult()`

Uses of Img in net.imglib2.algorithm.gauss

Methods in net.imglib2.algorithm.gauss that return Img
Modifier and Type	Method and Description
`static Img<DoubleType>`	GaussDouble.`gauss(double[] sigma, Img<DoubleType> input)` Deprecated.
`static Img<DoubleType>`	GaussDouble.`gauss(double[] sigma, Img<DoubleType> input, OutOfBoundsFactory<DoubleType,Img<DoubleType>> outOfBounds)` Deprecated.
`static Img<FloatType>`	GaussFloat.`gauss(double[] sigma, Img<FloatType> input)` Deprecated.
`static Img<FloatType>`	GaussFloat.`gauss(double[] sigma, Img<FloatType> input, OutOfBoundsFactory<FloatType,Img<FloatType>> outOfBounds)` Deprecated.
`static Img<DoubleType>`	GaussDouble.`gauss(double[] sigma, RandomAccessible<DoubleType> input, Interval interval, ImgFactory<DoubleType> factory)` Deprecated.
`static Img<FloatType>`	GaussFloat.`gauss(double[] sigma, RandomAccessible<FloatType> input, Interval interval, ImgFactory<FloatType> factory)` Deprecated.
`protected Img<T>`	GaussNativeType.`getProcessingLine(long sizeProcessLine)` Deprecated.
`protected Img<T>`	GaussGeneral.`getProcessingLine(long sizeProcessLine)` Deprecated.
`protected Img<FloatType>`	GaussFloat.`getProcessingLine(long sizeProcessLine)` Deprecated.
`protected Img<DoubleType>`	GaussDouble.`getProcessingLine(long sizeProcessLine)` Deprecated.
`protected abstract Img<T>`	AbstractGauss.`getProcessingLine(long size)`
`Img<T>`	SamplingLineIterator.`getProcessLine()` Deprecated.
`Img<T>`	AbstractGauss.`getTmp1()`
`Img<T>`	AbstractGauss.`getTmp2()`
`static <T extends RealType<T>> Img<T>`	Gauss.`inDouble(double[] sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<T>`	Gauss.`inDouble(double[] sigma, Img<T> img, OutOfBoundsFactory<DoubleType,RandomAccessibleInterval<DoubleType>> outofbounds)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img`
`static <T extends RealType<T>> Img<T>`	Gauss.`inDouble(double sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<T>`	Gauss.`inDouble(double sigma, Img<T> img, OutOfBoundsFactory<DoubleType,RandomAccessibleInterval<DoubleType>> outofbounds)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img`
`static <T extends RealType<T>> Img<T>`	Gauss.`inFloat(double[] sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<T>`	Gauss.`inFloat(double[] sigma, Img<T> img, OutOfBoundsFactory<FloatType,RandomAccessibleInterval<FloatType>> outofbounds)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img`
`static <T extends RealType<T>> Img<T>`	Gauss.`inFloat(double sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<T>`	Gauss.`inFloat(double sigma, Img<T> img, OutOfBoundsFactory<FloatType,RandomAccessibleInterval<FloatType>> outofbounds)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img`
`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>> 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 RealType<T>> Img<DoubleType>`	Gauss.`toDouble(double[] sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<DoubleType>`	Gauss.`toDouble(double[] sigma, Img<T> img, OutOfBoundsFactory<DoubleType,RandomAccessibleInterval<DoubleType>> outofbounds)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img`
`static <T extends RealType<T>> Img<DoubleType>`	Gauss.`toDouble(double sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<DoubleType>`	Gauss.`toDouble(double sigma, Img<T> img, OutOfBoundsFactory<DoubleType,RandomAccessibleInterval<DoubleType>> outofbounds)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img`
`static <T extends RealType<T>> Img<FloatType>`	Gauss.`toFloat(double[] sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<FloatType>`	Gauss.`toFloat(double[] sigma, Img<T> img, OutOfBoundsFactory<FloatType,RandomAccessibleInterval<FloatType>> outofbounds)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img`
`static <T extends RealType<T>> Img<FloatType>`	Gauss.`toFloat(double sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<FloatType>`	Gauss.`toFloat(double sigma, Img<T> img, OutOfBoundsFactory<FloatType,RandomAccessibleInterval<FloatType>> outofbounds)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img`

Methods in net.imglib2.algorithm.gauss with parameters of type Img
Modifier and Type	Method and Description
`static Img<DoubleType>`	GaussDouble.`gauss(double[] sigma, Img<DoubleType> input)` Deprecated.
`static Img<DoubleType>`	GaussDouble.`gauss(double[] sigma, Img<DoubleType> input, OutOfBoundsFactory<DoubleType,Img<DoubleType>> outOfBounds)` Deprecated.
`static Img<FloatType>`	GaussFloat.`gauss(double[] sigma, Img<FloatType> input)` Deprecated.
`static Img<FloatType>`	GaussFloat.`gauss(double[] sigma, Img<FloatType> input, OutOfBoundsFactory<FloatType,Img<FloatType>> outOfBounds)` Deprecated.
`static <T extends RealType<T>> Img<T>`	Gauss.`inDouble(double[] sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<T>`	Gauss.`inDouble(double[] sigma, Img<T> img, OutOfBoundsFactory<DoubleType,RandomAccessibleInterval<DoubleType>> outofbounds)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img`
`static <T extends RealType<T>> Img<T>`	Gauss.`inDouble(double sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<T>`	Gauss.`inDouble(double sigma, Img<T> img, OutOfBoundsFactory<DoubleType,RandomAccessibleInterval<DoubleType>> outofbounds)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img`
`static <T extends RealType<T>> void`	Gauss.`inDoubleInPlace(double[] sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution in-place (temporary imgs are necessary) with double precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> void`	Gauss.`inDoubleInPlace(double[] sigma, Img<T> img, OutOfBoundsFactory<DoubleType,RandomAccessibleInterval<DoubleType>> outofbounds)` Deprecated. Computes a Gaussian convolution in-place (temporary imgs are necessary) with double precision on an entire `Img`
`static <T extends RealType<T>> void`	Gauss.`inDoubleInPlace(double sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution in-place (temporary imgs are necessary) with double precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> void`	Gauss.`inDoubleInPlace(double sigma, Img<T> img, OutOfBoundsFactory<DoubleType,RandomAccessibleInterval<DoubleType>> outofbounds)` Deprecated. Computes a Gaussian convolution in-place (temporary imgs are necessary) with double precision on an entire `Img`
`static <T extends RealType<T>> Img<T>`	Gauss.`inFloat(double[] sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<T>`	Gauss.`inFloat(double[] sigma, Img<T> img, OutOfBoundsFactory<FloatType,RandomAccessibleInterval<FloatType>> outofbounds)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img`
`static <T extends RealType<T>> Img<T>`	Gauss.`inFloat(double sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<T>`	Gauss.`inFloat(double sigma, Img<T> img, OutOfBoundsFactory<FloatType,RandomAccessibleInterval<FloatType>> outofbounds)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img`
`static <T extends RealType<T>> void`	Gauss.`inFloatInPlace(double[] sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution in-place (temporary imgs are necessary) with float precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> void`	Gauss.`inFloatInPlace(double[] sigma, Img<T> img, OutOfBoundsFactory<FloatType,RandomAccessibleInterval<FloatType>> outofbounds)` Deprecated. Computes a Gaussian convolution in-place (temporary imgs are necessary) with float precision on an entire `Img`
`static <T extends RealType<T>> void`	Gauss.`inFloatInPlace(double sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution in-place (temporary imgs are necessary) with float precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> void`	Gauss.`inFloatInPlace(double sigma, Img<T> img, OutOfBoundsFactory<FloatType,RandomAccessibleInterval<FloatType>> outofbounds)` Deprecated. Computes a Gaussian convolution in-place (temporary imgs are necessary) with float precision on an entire `Img`
`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>> 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.`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`
`static <T extends RealType<T>> Img<DoubleType>`	Gauss.`toDouble(double[] sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<DoubleType>`	Gauss.`toDouble(double[] sigma, Img<T> img, OutOfBoundsFactory<DoubleType,RandomAccessibleInterval<DoubleType>> outofbounds)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img`
`static <T extends RealType<T>> Img<DoubleType>`	Gauss.`toDouble(double sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<DoubleType>`	Gauss.`toDouble(double sigma, Img<T> img, OutOfBoundsFactory<DoubleType,RandomAccessibleInterval<DoubleType>> outofbounds)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img`
`static <T extends RealType<T>> Img<FloatType>`	Gauss.`toFloat(double[] sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<FloatType>`	Gauss.`toFloat(double[] sigma, Img<T> img, OutOfBoundsFactory<FloatType,RandomAccessibleInterval<FloatType>> outofbounds)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img`
`static <T extends RealType<T>> Img<FloatType>`	Gauss.`toFloat(double sigma, Img<T> img)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`static <T extends RealType<T>> Img<FloatType>`	Gauss.`toFloat(double sigma, Img<T> img, OutOfBoundsFactory<FloatType,RandomAccessibleInterval<FloatType>> outofbounds)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img`

Method parameters in net.imglib2.algorithm.gauss with type arguments of type Img
Modifier and Type	Method and Description
`static Img<DoubleType>`	GaussDouble.`gauss(double[] sigma, Img<DoubleType> input, OutOfBoundsFactory<DoubleType,Img<DoubleType>> outOfBounds)` Deprecated.
`static Img<FloatType>`	GaussFloat.`gauss(double[] sigma, Img<FloatType> input, OutOfBoundsFactory<FloatType,Img<FloatType>> outOfBounds)` Deprecated.

Constructors in net.imglib2.algorithm.gauss with parameters of type Img
Constructor and Description
`GaussDouble(double[] sigma, Img<DoubleType> input)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`GaussDouble(double[] sigma, Img<DoubleType> input, OutOfBoundsFactory<DoubleType,Img<DoubleType>> outOfBounds)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img`
`GaussFloat(double[] sigma, Img<FloatType> input)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`GaussFloat(double[] sigma, Img<FloatType> input, OutOfBoundsFactory<FloatType,Img<FloatType>> outOfBounds)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img`
`GaussGeneral(double[] sigma, Img<T> input)` 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[] sigma, Img<T> input, OutOfBoundsFactory<T,Img<T>> outOfBounds)` 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`.
`GaussNativeType(double[] sigma, Img<T> input)` Deprecated. Computes a Gaussian convolution with any precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`GaussNativeType(double[] sigma, Img<T> input, OutOfBoundsFactory<T,Img<T>> outOfBounds)` Deprecated. Computes a Gaussian convolution with any precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary
`SamplingLineIterator(int dim, long size, RandomAccess<T> randomAccess, Img<T> processLine, T copy, T tmp)` Deprecated. Make a new SamplingLineIterator which iterates a 1d line of a certain length and is used as the input for the convolution operation

Constructor parameters in net.imglib2.algorithm.gauss with type arguments of type Img
Constructor and Description
`GaussDouble(double[] sigma, Img<DoubleType> input, OutOfBoundsFactory<DoubleType,Img<DoubleType>> outOfBounds)` Deprecated. Computes a Gaussian convolution with double precision on an entire `Img`
`GaussFloat(double[] sigma, Img<FloatType> input, OutOfBoundsFactory<FloatType,Img<FloatType>> outOfBounds)` Deprecated. Computes a Gaussian convolution with float precision on an entire `Img`
`GaussGeneral(double[] sigma, Img<T> input, OutOfBoundsFactory<T,Img<T>> outOfBounds)` 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`.
`GaussNativeType(double[] sigma, Img<T> input, OutOfBoundsFactory<T,Img<T>> outOfBounds)` Deprecated. Computes a Gaussian convolution with any precision on an entire `Img` using the `OutOfBoundsMirrorFactory` with single boundary

Uses of Img in net.imglib2.algorithm.integral

Fields in net.imglib2.algorithm.integral declared as Img
Modifier and Type	Field and Description
`protected Img<T>`	IntegralImg.`integral`
`protected Img<R>`	ScaleAreaAveraging2d.`scaled`

Methods in net.imglib2.algorithm.integral that return Img
Modifier and Type	Method and Description
`Img<R>`	ScaleAreaAveraging2d.`getResult()`
`Img<T>`	IntegralImg.`getResult()`

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

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

Methods in net.imglib2.algorithm.linalg.eigen that return Img
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 Img in net.imglib2.algorithm.math

Methods in net.imglib2.algorithm.math that return Img
Modifier and Type	Method and Description
`Img<BitType>`	PickImagePeaks.`getResult()`

Uses of Img in net.imglib2.algorithm.morphology

Methods in net.imglib2.algorithm.morphology that return Img
Modifier and Type	Method and Description
`static <T extends RealType<T>> Img<T>`	BlackTopHat.`blackTopHat(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the black top-hat (or bottom-hat) morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T> & Sub<T>> Img<T>`	BlackTopHat.`blackTopHat(Img<T> source, List<? extends Shape> strels, T minVal, T maxVal, int numThreads)` Performs the black top-hat (or bottom-hat) morphological operation, using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	BlackTopHat.`blackTopHat(Img<T> source, Shape strel, int numThreads)` Performs the black top-hat (or bottom-hat) morphological operation, on a `RealType` `Img` using a `Shape` as a flat structuring element.
`static <T extends Type<T> & Comparable<T> & Sub<T>> Img<T>`	BlackTopHat.`blackTopHat(Img<T> source, Shape strel, T minVal, T maxVal, int numThreads)` Performs the black top-hat (or bottom-hat) morphological operation, using a `Shape` as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Closing.`close(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the morphological closing operation on a `RealType` `Img`, using a list of `Shape`s as a structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Closing.`close(Img<T> source, List<? extends Shape> strels, T minVal, T maxVal, int numThreads)` Performs the morphological closing operation on an `Img` of `Comparable` , using a list of `Shape`s as a structuring element.
`static <T extends RealType<T>> Img<T>`	Closing.`close(Img<T> source, Shape strel, int numThreads)` Performs the morphological closing operation on a `RealType` `Img`, using a `Shape` as a structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Closing.`close(Img<T> source, Shape strel, T minVal, T maxVal, int numThreads)` Performs the morphological closing operation on an `Img` of `Comparable` , using a `Shape` as a structuring element.
`static <T extends RealType<T>> Img<T>`	Dilation.`dilate(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the dilation morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Dilation.`dilate(Img<T> source, List<? extends Shape> strels, T minVal, int numThreads)` Performs the dilation morphological operation, on an `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Dilation.`dilate(Img<T> source, Shape strel, int numThreads)` Performs the dilation morphological operation, on a `RealType` `Img` using a `Shape` as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Dilation.`dilate(Img<T> source, Shape strel, T minVal, int numThreads)` Performs the dilation morphological operation, on an `Img` using a `Shape` as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Dilation.`dilateFull(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the dilation morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Dilation.`dilateFull(Img<T> source, List<? extends Shape> strels, T minVal, int numThreads)` Performs the dilation morphological operation, on an `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Dilation.`dilateFull(Img<T> source, Shape strel, int numThreads)` Performs the dilation morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Dilation.`dilateFull(Img<T> source, Shape strel, T minVal, int numThreads)` Performs the dilation morphological operation, on an `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Erosion.`erode(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the erosion morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Erosion.`erode(Img<T> source, List<? extends Shape> strels, T maxVal, int numThreads)` Performs the erosion morphological operation, on an `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Erosion.`erode(Img<T> source, Shape strel, int numThreads)` Performs the erosion morphological operation, on a `RealType` `Img` using a `Shape` as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Erosion.`erode(Img<T> source, Shape strel, T maxVal, int numThreads)` Performs the erosion morphological operation, on an `Img` using a `Shape` as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Erosion.`erodeFull(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the erosion morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Erosion.`erodeFull(Img<T> source, List<? extends Shape> strels, T maxVal, int numThreads)` Performs the erosion morphological operation, on an `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Erosion.`erodeFull(Img<T> source, Shape strel, int numThreads)` Performs the erosion morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Erosion.`erodeFull(Img<T> source, Shape strel, T maxVal, int numThreads)` Performs the erosion morphological operation, on an `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Opening.`open(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the morphological opening operation on a `RealType` `Img`, using a list of `Shape`s as a structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Opening.`open(Img<T> source, List<? extends Shape> strels, T minVal, T maxVal, int numThreads)` Performs the morphological opening operation on an `Img` of `Comparable` , using a list of `Shape`s as a structuring element.
`static <T extends RealType<T>> Img<T>`	Opening.`open(Img<T> source, Shape strel, int numThreads)` Performs the morphological opening operation on a `RealType` `Img`, using a `Shape` as a structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Opening.`open(Img<T> source, Shape strel, T minVal, T maxVal, int numThreads)` Performs the morphological opening operation on an `Img` of `Comparable` , using a `Shape` as a structuring element.
`static <T extends RealType<T>> Img<T>`	TopHat.`topHat(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the top-hat (white top-hat) morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T> & Sub<T>> Img<T>`	TopHat.`topHat(Img<T> source, List<? extends Shape> strels, T minVal, T maxVal, int numThreads)` Performs the top-hat (white top-hat) morphological operation, using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	TopHat.`topHat(Img<T> source, Shape strel, int numThreads)` Performs the top-hat (white top-hat) morphological operation, on a `RealType` `Img` using a `Shape` as a flat structuring element.
`static <T extends Type<T> & Comparable<T> & Sub<T>> Img<T>`	TopHat.`topHat(Img<T> source, Shape strel, T minVal, T maxVal, int numThreads)` Performs the top-hat (white top-hat) morphological operation, using a `Shape` as a flat structuring element.

Methods in net.imglib2.algorithm.morphology with parameters of type Img
Modifier and Type	Method and Description
`static <T extends RealType<T>> Img<T>`	BlackTopHat.`blackTopHat(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the black top-hat (or bottom-hat) morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T> & Sub<T>> Img<T>`	BlackTopHat.`blackTopHat(Img<T> source, List<? extends Shape> strels, T minVal, T maxVal, int numThreads)` Performs the black top-hat (or bottom-hat) morphological operation, using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	BlackTopHat.`blackTopHat(Img<T> source, Shape strel, int numThreads)` Performs the black top-hat (or bottom-hat) morphological operation, on a `RealType` `Img` using a `Shape` as a flat structuring element.
`static <T extends Type<T> & Comparable<T> & Sub<T>> Img<T>`	BlackTopHat.`blackTopHat(Img<T> source, Shape strel, T minVal, T maxVal, int numThreads)` Performs the black top-hat (or bottom-hat) morphological operation, using a `Shape` as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Closing.`close(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the morphological closing operation on a `RealType` `Img`, using a list of `Shape`s as a structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Closing.`close(Img<T> source, List<? extends Shape> strels, T minVal, T maxVal, int numThreads)` Performs the morphological closing operation on an `Img` of `Comparable` , using a list of `Shape`s as a structuring element.
`static <T extends RealType<T>> Img<T>`	Closing.`close(Img<T> source, Shape strel, int numThreads)` Performs the morphological closing operation on a `RealType` `Img`, using a `Shape` as a structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Closing.`close(Img<T> source, Shape strel, T minVal, T maxVal, int numThreads)` Performs the morphological closing operation on an `Img` of `Comparable` , using a `Shape` as a structuring element.
`static <T extends RealType<T>> Img<T>`	Dilation.`dilate(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the dilation morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Dilation.`dilate(Img<T> source, List<? extends Shape> strels, T minVal, int numThreads)` Performs the dilation morphological operation, on an `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Dilation.`dilate(Img<T> source, Shape strel, int numThreads)` Performs the dilation morphological operation, on a `RealType` `Img` using a `Shape` as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Dilation.`dilate(Img<T> source, Shape strel, T minVal, int numThreads)` Performs the dilation morphological operation, on an `Img` using a `Shape` as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Dilation.`dilateFull(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the dilation morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Dilation.`dilateFull(Img<T> source, List<? extends Shape> strels, T minVal, int numThreads)` Performs the dilation morphological operation, on an `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Dilation.`dilateFull(Img<T> source, Shape strel, int numThreads)` Performs the dilation morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Dilation.`dilateFull(Img<T> source, Shape strel, T minVal, int numThreads)` Performs the dilation morphological operation, on an `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Erosion.`erode(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the erosion morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Erosion.`erode(Img<T> source, List<? extends Shape> strels, T maxVal, int numThreads)` Performs the erosion morphological operation, on an `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Erosion.`erode(Img<T> source, Shape strel, int numThreads)` Performs the erosion morphological operation, on a `RealType` `Img` using a `Shape` as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Erosion.`erode(Img<T> source, Shape strel, T maxVal, int numThreads)` Performs the erosion morphological operation, on an `Img` using a `Shape` as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Erosion.`erodeFull(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the erosion morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Erosion.`erodeFull(Img<T> source, List<? extends Shape> strels, T maxVal, int numThreads)` Performs the erosion morphological operation, on an `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Erosion.`erodeFull(Img<T> source, Shape strel, int numThreads)` Performs the erosion morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Erosion.`erodeFull(Img<T> source, Shape strel, T maxVal, int numThreads)` Performs the erosion morphological operation, on an `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	Opening.`open(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the morphological opening operation on a `RealType` `Img`, using a list of `Shape`s as a structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Opening.`open(Img<T> source, List<? extends Shape> strels, T minVal, T maxVal, int numThreads)` Performs the morphological opening operation on an `Img` of `Comparable` , using a list of `Shape`s as a structuring element.
`static <T extends RealType<T>> Img<T>`	Opening.`open(Img<T> source, Shape strel, int numThreads)` Performs the morphological opening operation on a `RealType` `Img`, using a `Shape` as a structuring element.
`static <T extends Type<T> & Comparable<T>> Img<T>`	Opening.`open(Img<T> source, Shape strel, T minVal, T maxVal, int numThreads)` Performs the morphological opening operation on an `Img` of `Comparable` , using a `Shape` as a structuring element.
`static <T extends RealType<T>> Img<T>`	TopHat.`topHat(Img<T> source, List<? extends Shape> strels, int numThreads)` Performs the top-hat (white top-hat) morphological operation, on a `RealType` `Img` using a list of `Shape`s as a flat structuring element.
`static <T extends Type<T> & Comparable<T> & Sub<T>> Img<T>`	TopHat.`topHat(Img<T> source, List<? extends Shape> strels, T minVal, T maxVal, int numThreads)` Performs the top-hat (white top-hat) morphological operation, using a list of `Shape`s as a flat structuring element.
`static <T extends RealType<T>> Img<T>`	TopHat.`topHat(Img<T> source, Shape strel, int numThreads)` Performs the top-hat (white top-hat) morphological operation, on a `RealType` `Img` using a `Shape` as a flat structuring element.
`static <T extends Type<T> & Comparable<T> & Sub<T>> Img<T>`	TopHat.`topHat(Img<T> source, Shape strel, T minVal, T maxVal, int numThreads)` Performs the top-hat (white top-hat) morphological operation, using a `Shape` as a flat structuring element.

Uses of Img in net.imglib2.algorithm.morphology.table2d

Methods in net.imglib2.algorithm.morphology.table2d that return Img
Modifier and Type	Method and Description
`static <T extends BooleanType<T>> Img<T>`	Branchpoints.`branchpoints(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Bridge.`bridge(Img<T> source)`
`protected <T extends BooleanType<T>> Img<T>`	Abstract3x3TableOperation.`calculate(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Clean.`clean(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Endpoints.`endpoints(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Fill.`fill(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Hbreak.`hbreak(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Life.`life(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Majority.`majority(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Remove.`remove(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Spur.`spur(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Thicken.`thicken(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Thin.`thin(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Thin1.`thin1(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Thin2.`thin2(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Vbreak.`vbreak(Img<T> source)`

Methods in net.imglib2.algorithm.morphology.table2d with parameters of type Img
Modifier and Type	Method and Description
`static <T extends BooleanType<T>> Img<T>`	Branchpoints.`branchpoints(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Bridge.`bridge(Img<T> source)`
`protected <T extends BooleanType<T>> Img<T>`	Abstract3x3TableOperation.`calculate(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Clean.`clean(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Endpoints.`endpoints(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Fill.`fill(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Hbreak.`hbreak(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Life.`life(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Majority.`majority(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Remove.`remove(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Spur.`spur(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Thicken.`thicken(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Thin.`thin(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Thin1.`thin1(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Thin2.`thin2(Img<T> source)`
`static <T extends BooleanType<T>> Img<T>`	Vbreak.`vbreak(Img<T> source)`

Uses of Img in net.imglib2.algorithm.pde

Fields in net.imglib2.algorithm.pde declared as Img
Modifier and Type	Field and Description
`protected Img<FloatType>`	ExplicitDiffusionScheme.`increment` This is a temporary holder were we store the increment to add to the input image at each iteration.

Methods in net.imglib2.algorithm.pde that return Img
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`.
`Img<FloatType>`	MomentOfInertiaTensor3D.`getResult()`
`Img<FloatType>`	MomentOfInertiaTensor2D.`getResult()`
`Img<FloatType>`	IsotropicDiffusionTensor.`getResult()`
`Img<FloatType>`	Gradient.`getResult()`
`Img<FloatType>`	CoherenceEnhancingDiffusionTensor2D.`getResult()`
`static <T extends RealType<T>> Img<FloatType>`	PeronaMalikAnisotropicDiffusion.`toFloat(Img<T> input, double deltat, double kappa)`
`static <T extends RealType<T>> Img<FloatType>`	PeronaMalikAnisotropicDiffusion.`toFloat(Img<T> input, 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)`

Methods in net.imglib2.algorithm.pde with parameters of type Img
Modifier and Type	Method and Description
`static <T extends RealType<T>> void`	PeronaMalikAnisotropicDiffusion.`inFloatInPlace(Img<T> input, double deltat, double kappa)`
`static <T extends RealType<T>> void`	PeronaMalikAnisotropicDiffusion.`inFloatInPlace(Img<T> input, double deltat, PeronaMalikAnisotropicDiffusion.DiffusionFunction function)`
`static <T extends RealType<T>> Img<FloatType>`	PeronaMalikAnisotropicDiffusion.`toFloat(Img<T> input, double deltat, double kappa)`
`static <T extends RealType<T>> Img<FloatType>`	PeronaMalikAnisotropicDiffusion.`toFloat(Img<T> input, double deltat, PeronaMalikAnisotropicDiffusion.DiffusionFunction function)`

Constructors in net.imglib2.algorithm.pde with parameters of type Img
Constructor and Description
`CoherenceEnhancingDiffusionTensor2D(Img<T> input)`
`ExplicitDiffusionScheme(Img<T> input, Img<FloatType> D)` Contructor of ExplicitDiffusionScheme, calls contructor `ExplicitDiffusionScheme(RandomAccessibleInterval<T>, RandomAccessibleInterval<FloatType>, ImgFactory<FloatType>)` and uses the `ImgFactory` of the second Img as third parameter.
`ExplicitDiffusionScheme(Img<T> input, Img<FloatType> D)` Contructor of ExplicitDiffusionScheme, calls contructor `ExplicitDiffusionScheme(RandomAccessibleInterval<T>, RandomAccessibleInterval<FloatType>, ImgFactory<FloatType>)` and uses the `ImgFactory` of the second Img as third parameter.
`ExplicitDiffusionScheme3D(Img<T> input, Img<FloatType> D)`
`ExplicitDiffusionScheme3D(Img<T> input, Img<FloatType> D)`
`Gradient(Img<T> input, boolean[] doDimension)` Deprecated. Use `Gradient(RandomAccessibleInterval, ImgFactory, boolean[])` instead and define a imgFactory for the output.
`MomentOfInertiaTensor2D(Img<T> input, int scale)` Deprecated. Use `MomentOfInertiaTensor2D(RandomAccessibleInterval, ImgFactory, int)` and specify the `ImgFactory<Float>` for the output.
`MomentOfInertiaTensor2D(Img<T> input, int scale, double epsilon_1, double epsilon_2)` Deprecated. Use `MomentOfInertiaTensor2D(RandomAccessibleInterval, ImgFactory, int, double, double)` and specify the `ImgFactory<Float>` for the output.
`MomentOfInertiaTensor3D(Img<T> input, int scale)` Deprecated. Use `MomentOfInertiaTensor3D(RandomAccessibleInterval, ImgFactory, int, double, double)` instead and define the `ArrayImg<FloatType>` for the output.
`MomentOfInertiaTensor3D(Img<T> input, int scale, double epsilon_1, double epsilon_2)` Deprecated. Use `MomentOfInertiaTensor3D(RandomAccessibleInterval, ImgFactory, int, double, double)` instead and define the `ArrayImg<FloatType>` for the output.
`NonNegativityDiffusionScheme2D(Img<T> input, Img<FloatType> D)`
`NonNegativityDiffusionScheme2D(Img<T> input, Img<FloatType> D)`
`NonNegativityDiffusionScheme2D(Img<T> input, Img<FloatType> D, float dt)`
`NonNegativityDiffusionScheme2D(Img<T> input, Img<FloatType> D, float dt)`
`NonNegativityDiffusionScheme3D(Img<T> input, Img<FloatType> D)`
`NonNegativityDiffusionScheme3D(Img<T> input, Img<FloatType> D)`
`NonNegativityDiffusionScheme3D(Img<T> input, Img<FloatType> D, float dt)`
`NonNegativityDiffusionScheme3D(Img<T> input, Img<FloatType> D, float dt)`
`PeronaMalikAnisotropicDiffusion(Img<T> image, double deltat, double kappa)` Instantiate the Perona & Malik anisotropic diffusion process, with the default strong-edge diffusion function.
`PeronaMalikAnisotropicDiffusion(Img<T> img, double deltat, PeronaMalikAnisotropicDiffusion.DiffusionFunction function)` Instantiate the Perona & Malik anisotropic diffusion process, with a custom diffusion function.
`StandardDiffusionScheme2D(Img<T> input, Img<FloatType> D)`
`StandardDiffusionScheme2D(Img<T> input, Img<FloatType> D)`
`StandardDiffusionScheme3D(Img<T> input, Img<FloatType> D)`
`StandardDiffusionScheme3D(Img<T> input, Img<FloatType> D)`
`StandardDiffusionScheme3D(Img<T> input, Img<FloatType> D, float dt)`
`StandardDiffusionScheme3D(Img<T> input, Img<FloatType> D, float dt)`

Uses of Img in net.imglib2.algorithm.stats

Constructors in net.imglib2.algorithm.stats with parameters of type Img
Constructor and Description
`Histogram(HistogramBinMapper<T> mapper, Img<T> image)` Create a Histogram using the given mapper, calculating from the given Image.

Uses of Img in net.imglib2.algorithm.transformation

Methods in net.imglib2.algorithm.transformation that return Img
Modifier and Type	Method and Description
`Img<T>`	ImageTransform.`getResult()`

Constructor parameters in net.imglib2.algorithm.transformation with type arguments of type Img
Constructor and Description
`ImageTransform(ExtendedRandomAccessibleInterval<T,Img<T>> container, InvertibleBoundable transform, InterpolatorFactory<T,RandomAccessible<T>> interpolatorFactory)` Deprecated. Use a different constructor and explicitly define a `ImgFactory` which will create the output.

Uses of Img in net.imglib2.cache.img

Classes in net.imglib2.cache.img that implement Img
Modifier and Type	Class and Description
`class`	`CachedCellImg<T extends NativeType<T>,A>` A `LazyCellImg` that creates empty Cells lazily when they are accessed and stores (modified) Cells in a disk cache when memory runs full.
`class`	`DiskCachedCellImg<T extends NativeType<T>,A>` A `LazyCellImg` that creates empty Cells lazily when they are accessed and stores (modified) Cells in a disk cache when memory runs full.
`class`	`SingleCellArrayImg<T extends NativeType<T>,A extends ArrayDataAccess<A>>` A `NativeImg` representing a single cell of an `AbstractCellImg`.

Methods in net.imglib2.cache.img that return Img
Modifier and Type	Method and Description
`Img<T>`	SingleCellArrayImg.`copy()`

Uses of Img in net.imglib2.display.screenimage.awt

Classes in net.imglib2.display.screenimage.awt that implement Img
Modifier and Type	Class and Description
`class`	`ARGBScreenImage`
`class`	`ArrayImgAWTScreenImage<T extends NativeType<T>,A>` An `AWTScreenImage` that is an `ArrayImg`.
`class`	`ByteAWTScreenImage` A `AWTScreenImage` that is an `ArrayImg<ByteType, ByteArray>`.
`class`	`DoubleAWTScreenImage` A `AWTScreenImage` that is an `ArrayImg<DoubleType, DoubleArray>` .
`class`	`FloatAWTScreenImage` A `AWTScreenImage` that is an `ArrayImg<FloatType, FloatArray>`.
`class`	`IntAWTScreenImage` A `AWTScreenImage` that is an `ArrayImg<ShortType, ShortArray>`.
`class`	`ShortAWTScreenImage` A `AWTScreenImage` that is an `ArrayImg<ShortType, ShortArray>`.
`class`	`UnsignedByteAWTScreenImage` A `AWTScreenImage` that is an `ArrayImg<UnsignedByteType, ByteArray>`.
`class`	`UnsignedIntAWTScreenImage` A `AWTScreenImage` that is an `ArrayImg<ShortType, ShortArray>`.
`class`	`UnsignedShortAWTScreenImage` A `AWTScreenImage` that is an `ArrayImg<UnsignedShortType, ShortArray>`.

Uses of Img in net.imglib2.histogram

Classes in net.imglib2.histogram that implement Img
Modifier and Type	Class and Description
`class`	`DiscreteFrequencyDistribution` This class represents an n-dimensional set of counters.
`class`	`Histogram1d<T>` A Histogram1d is a histogram that tracks up to four kinds of values: 1) values in the center of the distribution 2) values to the left of the center of the distribution (lower tail) 3) values to the right of the center of the distribution (upper tail) 4) values outside the other areas
`class`	`HistogramNd<T>` A HistogramNd is an n-dimensional histogram that tracks up to four kinds of values: 1) values in the center of the distribution 2) values to the left of the center of the distribution (lower tail) 3) values to the right of the center of the distribution (upper tail) 4) values outside the other areas

Constructors in net.imglib2.histogram with parameters of type Img
Constructor and Description
`DiscreteFrequencyDistribution(Img<LongType> img)` Construct an n-dimensional counter using a provided `Img<LongType>` to store counts.

Uses of Img in net.imglib2.img

Subinterfaces of Img in net.imglib2.img
Modifier and Type	Interface and Description
`interface`	`NativeImg<T extends Type<T>,A>` TODO
`interface`	`NativeLongAccessImg<T extends Type<T>,A>` TODO

Classes in net.imglib2.img that implement Img
Modifier and Type	Class and Description
`class`	`AbstractImg<T>` TODO
`class`	`AbstractNativeImg<T extends NativeType<T>,A>` TODO
`class`	`AbstractNativeLongAccessImg<T extends NativeLongAccessType<T>,A>` TODO
`class`	`ImgView<T extends Type<T>>` Allows a `RandomAccessibleInterval` to be treated as an `Img`.

Methods in net.imglib2.img that return Img
Modifier and Type	Method and Description
`static Img<FloatType>`	ImagePlusAdapter.`convertFloat(ij.ImagePlus imp)`
`protected static <T extends Type<T>> Img<FloatType>`	ImagePlusAdapter.`convertToFloat(Img<T> input, Converter<T,FloatType> c)`
`Img<T>`	ImgView.`copy()`
`Img<T>`	Img.`copy()`
`Img<T>`	ImgFactory.`create(Dimensions dimensions)` Create an `Img<T>` with the specified `dimensions`.
`Img<T>`	ImgFactory.`create(Dimensions dim, T type)` Deprecated.
`Img<T>`	ImgFactory.`create(int[] dimensions)` Create an `Img<T>` with the specified `dimensions`.
`Img<T>`	ImgFactory.`create(int[] dim, T type)` Deprecated.
`abstract Img<T>`	ImgFactory.`create(long... dimensions)` Create an `Img<T>` with the specified `dimensions`.
`abstract Img<T>`	ImgFactory.`create(long[] dim, T type)` Deprecated.
`Img<T>`	ImgFactory.`create(Supplier<T> typeSupplier, Dimensions dim)` Deprecated.
`Img<T>`	ImgFactory.`create(Supplier<T> typeSupplier, int[] dim)` Deprecated.
`Img<T>`	ImgFactory.`create(Supplier<T> typeSupplier, long... dim)` Deprecated.
`Img<T>`	WrappedImg.`getImg()`
`static <T extends Type<T>> Img<T>`	ImgView.`wrap(RandomAccessibleInterval<T> accessible)` Represent an arbitrary `RandomAccessibleInterval` as an `Img`, with a suitable `ImgFactory` for its size and type, created by `Util.getSuitableImgFactory(net.imglib2.Dimensions, Object)`.
`static <T extends Type<T>> Img<T>`	ImgView.`wrap(RandomAccessibleInterval<T> accessible, ImgFactory<T> factory)` Represent an arbitrary `RandomAccessibleInterval` as an `Img`.

Methods in net.imglib2.img with parameters of type Img
Modifier and Type	Method and Description
`protected static <T extends Type<T>> Img<FloatType>`	ImagePlusAdapter.`convertToFloat(Img<T> input, Converter<T,FloatType> c)`

Uses of Img in net.imglib2.img.array

Classes in net.imglib2.img.array that implement Img
Modifier and Type	Class and Description
`class`	`ArrayImg<T extends NativeType<T>,A>` This `Img` stores an image in a single linear array of basic types.

Uses of Img in net.imglib2.img.cell

Classes in net.imglib2.img.cell that implement Img
Modifier and Type	Class and Description
`class`	`AbstractCellImg<T extends NativeType<T>,A,C extends Cell<A>,I extends RandomAccessible<C> & IterableInterval<C>>` Abstract superclass for `Img` types that divide their underlying data into cells.
`class`	`CellImg<T extends NativeType<T>,A>`
`class`	`LazyCellImg<T extends NativeType<T>,A>` A `AbstractCellImg` that obtains its Cells lazily when they are accessed.
`static class`	`LazyCellImg.LazyCells<T>`

Methods in net.imglib2.img.cell that return Img
Modifier and Type	Method and Description
`Img<T>`	LazyCellImg.`copy()`
`Img<T>`	LazyCellImg.LazyCells.`copy()`

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

Methods in net.imglib2.img.display.imagej that return Img
Modifier and Type	Method and Description
`static Img<FloatType>`	ImageJFunctions.`convertFloat(ij.ImagePlus imp)`
`static Img<?>`	ImageProcessorUtils.`createImg(Object pixels, int width, int height)` Creates a two dimensional `Img` that wraps around the array given as pixels.
`static <T extends NumericType<T> & NativeType<T>> Img<T>`	ImageJFunctions.`wrap(ij.ImagePlus imp)`
`static Img<UnsignedByteType>`	ImageJFunctions.`wrapByte(ij.ImagePlus imp)`
`static Img<FloatType>`	ImageJFunctions.`wrapFloat(ij.ImagePlus imp)`
`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)`
`static <T extends RealType<T>> Img<T>`	ImageJFunctions.`wrapReal(ij.ImagePlus imp)`
`static <T extends RealType<T> & NativeType<T>> Img<T>`	ImageJFunctions.`wrapRealNative(ij.ImagePlus imp)`
`static Img<ARGBType>`	ImageJFunctions.`wrapRGBA(ij.ImagePlus imp)`
`static Img<UnsignedShortType>`	ImageJFunctions.`wrapShort(ij.ImagePlus imp)`

Uses of Img in net.imglib2.img.imageplus

Classes in net.imglib2.img.imageplus that implement Img
Modifier and Type	Class and Description
`class`	`ByteImagePlus<T extends NativeType<T>>` `ImagePlusImg` for byte-stored data.
`class`	`FloatImagePlus<T extends NativeType<T>>` `ImagePlusImg` for float-stored data.
`class`	`ImagePlusImg<T extends NativeType<T>,A extends ArrayDataAccess<A>>` A container that stores data in an array of 2D slices each as a linear array of basic types.
`class`	`IntImagePlus<T extends NativeType<T>>` `ImagePlusImg` for integer-stored data.
`class`	`ShortImagePlus<T extends NativeType<T>>` `ImagePlusImg` for short-stored data.

Uses of Img in net.imglib2.img.io

Methods in net.imglib2.img.io that return Img
Modifier and Type	Method and Description
`Img<T>`	IJLoader.`get(String path)`

Method parameters in net.imglib2.img.io with type arguments of type Img
Modifier and Type	Method and Description
`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>> 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 Img in net.imglib2.img.list

Classes in net.imglib2.img.list that implement Img
Modifier and Type	Class and Description
`class`	`AbstractListImg<T>` Abstract base class for `Img` that store pixels in a single linear array (an `ArrayList` or similar).In principle, the number of entities stored is limited to `Integer.MAX_VALUE`.
`class`	`AbstractLongListImg<T>` Abstract base class for `Img` that store pixels in a single linear list addressed by a long.
`class`	`ListImg<T>` This `Img` stores an image in a single linear `ArrayList`.

Uses of Img in net.imglib2.img.planar

Classes in net.imglib2.img.planar that implement Img
Modifier and Type	Class and Description
`class`	`PlanarImg<T extends NativeType<T>,A extends ArrayDataAccess<A>>` A `NativeImg` that stores data in an list of primitive arrays, one per image plane.

Uses of Img in net.imglib2.img.sparse

Classes in net.imglib2.img.sparse that implement Img
Modifier and Type	Class and Description
`class`	`NtreeImg<T extends NativeType<T>,A extends NtreeAccess<?,A>>`

Uses of Img in net.imglib2.img.unsafe

Classes in net.imglib2.img.unsafe that implement Img
Modifier and Type	Class and Description
`class`	`UnsafeImg<T extends NativeLongAccessType<T>,A>` This `Img` stores an image in a single linear array of basic types.

Uses of Img in net.imglib2.labeling

Fields in net.imglib2.labeling declared as Img
Modifier and Type	Field and Description
`protected Img<I>`	NativeImgLabeling.`img` Deprecated.

Methods in net.imglib2.labeling that return Img
Modifier and Type	Method and Description
`Img<I>`	NativeImgLabeling.`getStorageImg()` Deprecated.

Constructors in net.imglib2.labeling with parameters of type Img
Constructor and Description
`NativeImgLabeling(Img<I> img)` Deprecated.
`NativeImgLabeling(LabelingROIStrategyFactory<T> strategyFactory, Img<I> img)` Deprecated. Create a labeling backed by a native image with custom strategy and image factory

Uses of Img in net.imglib2.test

Methods in net.imglib2.test that return Img
Modifier and Type	Method and Description
`<T extends NativeType<T>> Img<T>`	RandomImgs.`nextImage(T type, long... dims)` Creates an image with randomized content

Uses of Img in net.imglib2.util

Methods in net.imglib2.util with parameters of type Img
Modifier and Type	Method and Description
`static double[]`	Util.`asDoubleArray(Img<? extends RealType<?>> image)` Returns the pixels of an image of RealType as array of doubles.
`static <T extends BooleanType<T>> void`	ImgUtil.`copy(boolean[] src, int offset, int[] stride, Img<T> dest)`
`static <T extends RealType<T>> void`	ImgUtil.`copy(double[] src, int offset, int[] stride, Img<T> dest)` Copy a flat array of doubles into an Img.
`static <T extends RealType<T>> void`	ImgUtil.`copy(float[] src, int offset, int[] stride, Img<T> dest)`
`static <T extends BooleanType<T>> void`	ImgUtil.`copy(Img<T> src, boolean[] dest, int offset, int[] stride)`
`static <T extends RealType<T>> void`	ImgUtil.`copy(Img<T> src, double[] dest, int offset, int[] stride)` Copy the contents of an Img to a double array
`static <T extends RealType<T>> void`	ImgUtil.`copy(Img<T> src, float[] dest, int offset, int[] stride)`
`static <T extends IntegerType<T>> void`	ImgUtil.`copy(Img<T> src, int[] dest, int offset, int[] stride)`
`static <T extends IntegerType<T>> void`	ImgUtil.`copy(Img<T> src, long[] dest, int offset, int[] stride)`
`static <T extends IntegerType<T>> void`	ImgUtil.`copy(Img<T> src, short[] dest, int offset, int[] stride)`
`static <T extends IntegerType<T>> void`	ImgUtil.`copy(int[] src, int offset, int[] stride, Img<T> dest)`
`static <T extends IntegerType<T>> void`	ImgUtil.`copy(long[] src, int offset, int[] stride, Img<T> dest)`

Uses of Interfacenet.imglib2.img.Img

Uses of Img in net.imglib2.algorithm.binary

Uses of Img in net.imglib2.algorithm.bspline

Uses of Img in net.imglib2.algorithm.fft

Uses of Img in net.imglib2.algorithm.fft2

Uses of Img in net.imglib2.algorithm.floydsteinberg

Uses of Img in net.imglib2.algorithm.gauss

Uses of Img in net.imglib2.algorithm.integral

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

Uses of Img in net.imglib2.algorithm.math

Uses of Img in net.imglib2.algorithm.morphology

Uses of Img in net.imglib2.algorithm.morphology.table2d

Uses of Img in net.imglib2.algorithm.pde

Uses of Img in net.imglib2.algorithm.stats

Uses of Img in net.imglib2.algorithm.transformation

Uses of Img in net.imglib2.cache.img

Uses of Img in net.imglib2.display.screenimage.awt

Uses of Img in net.imglib2.histogram

Uses of Img in net.imglib2.img

Uses of Img in net.imglib2.img.array

Uses of Img in net.imglib2.img.cell

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

Uses of Img in net.imglib2.img.imageplus

Uses of Img in net.imglib2.img.io

Uses of Img in net.imglib2.img.list

Uses of Img in net.imglib2.img.planar

Uses of Img in net.imglib2.img.sparse

Uses of Img in net.imglib2.img.unsafe

Uses of Img in net.imglib2.labeling

Uses of Img in net.imglib2.test

Uses of Img in net.imglib2.util

Uses of Interface
net.imglib2.img.Img