Modifier and Type | Method and Description |
---|---|
void |
ROIAlgorithm.setImageFactory(ImageFactory<S> factory)
Set the
ImageFactory used to create the output Image |
Modifier and Type | Method and Description |
---|---|
static <T extends RealType<T>> |
FourierConvolution.getGaussianKernel(ImageFactory<T> imgFactory,
double[] sigma) |
static <T extends RealType<T>> |
FourierConvolution.getGaussianKernel(ImageFactory<T> imgFactory,
double sigma,
int numDimensions) |
Constructor and Description |
---|
GaussianConvolution2(Image<A> image,
ImageFactory<B> factoryProcess,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
Converter<A,B> converterIn,
double sigma) |
GaussianConvolution2(Image<A> image,
ImageFactory<B> factoryProcess,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
Converter<A,B> converterIn,
double[] sigma) |
GaussianConvolution3(Image<A> image,
ImageFactory<B> factoryProcess,
ImageFactory<C> factoryOut,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
Converter<A,B> converterIn,
Converter<B,C> converterOut,
double sigma) |
GaussianConvolution3(Image<A> image,
ImageFactory<B> factoryProcess,
ImageFactory<C> factoryOut,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
Converter<A,B> converterIn,
Converter<B,C> converterOut,
double sigma) |
GaussianConvolution3(Image<A> image,
ImageFactory<B> factoryProcess,
ImageFactory<C> factoryOut,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
Converter<A,B> converterIn,
Converter<B,C> converterOut,
double[] sigma) |
GaussianConvolution3(Image<A> image,
ImageFactory<B> factoryProcess,
ImageFactory<C> factoryOut,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
Converter<A,B> converterIn,
Converter<B,C> converterOut,
double[] sigma) |
GaussianConvolution4(Image<A> image,
ImageFactory<B> factoryProcess,
ImageFactory<C> factoryOut,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
Converter<A,B> converterIn,
Converter<B,C> converterOut,
B sigma) |
GaussianConvolution4(Image<A> image,
ImageFactory<B> factoryProcess,
ImageFactory<C> factoryOut,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
Converter<A,B> converterIn,
Converter<B,C> converterOut,
B sigma) |
GaussianConvolution4(Image<A> image,
ImageFactory<B> factoryProcess,
ImageFactory<C> factoryOut,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
Converter<A,B> converterIn,
Converter<B,C> converterOut,
B[] sigma) |
GaussianConvolution4(Image<A> image,
ImageFactory<B> factoryProcess,
ImageFactory<C> factoryOut,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
Converter<A,B> converterIn,
Converter<B,C> converterOut,
B[] sigma) |
Modifier and Type | Field and Description |
---|---|
protected ImageFactory<FloatType> |
GradientWatershed.floatFactory |
protected ImageFactory<LabelingType<L>> |
GradientWatershed.labelingFactory |
Modifier and Type | Method and Description |
---|---|
protected ImageFactory<FloatType> |
GradientWatershed.getFloatFactory() |
ImageFactory<LabelingType<L>> |
GradientWatershed.getOutputImageFactory() |
Modifier and Type | Method and Description |
---|---|
void |
GradientWatershed.setOutputImageFactory(ImageFactory<LabelingType<L>> factory)
Set the image factory to use when creating the Labeling.
|
Modifier and Type | Method and Description |
---|---|
protected static <T extends Type<T>> |
ImageConverter.createImageFromFactory(ImageFactory<T> factory,
int[] size) |
protected static <U extends Type<U>> |
ImageCalculator.createImageFromFactory(ImageFactory<U> factory,
int[] size) |
Constructor and Description |
---|
ImageCalculator(Image<S> image1,
Image<T> image2,
ImageFactory<U> factory,
Function<S,T,U> function) |
ImageConverter(Image<S> image,
ImageFactory<T> factory,
Converter<S,T> converter) |
Constructor and Description |
---|
StructuringElement(ImageFactory<BitType> factory,
int[] dimensions,
String name) |
Modifier and Type | Field and Description |
---|---|
protected ImageFactory<B> |
DifferenceOfGaussian.factory |
Modifier and Type | Method and Description |
---|---|
protected Image<B> |
ScaleSpace.convert(Image<A> input,
ImageFactory<B> processFactory,
Converter<A,B> converter) |
protected static <T extends RealType<T>> |
DifferenceOfGaussianReal.createVariable(ImageFactory<T> img,
double value) |
protected Image<B> |
ScaleSpace.upSample(Image<A> input,
ImageFactory<B> processFactory,
Converter<A,B> converter)
Upsamples the image by a factor of 2.
|
Constructor and Description |
---|
DifferenceOfGaussian(Image<A> img,
ImageFactory<B> factory,
Converter<A,B> converter,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
double[] sigma1,
double[] sigma2,
B minPeakValue,
B normalizationFactor)
Extracts local minima and maxima of a certain size.
|
DifferenceOfGaussian(Image<A> img,
ImageFactory<B> factory,
Converter<A,B> converter,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
double sigma1,
double sigma2,
B minPeakValue,
B normalizationFactor)
Calls the DifferenceOfGaussian constructor with the given sigmas copied into double[] arrays,
one entry per dimension.
|
DifferenceOfGaussianReal(Image<A> img,
ImageFactory<B> factory,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
double[] sigma1,
double[] sigma2,
double minPeakValue,
double normalizationFactor) |
DifferenceOfGaussianReal(Image<A> img,
ImageFactory<B> factory,
OutOfBoundsStrategyFactory<B> outOfBoundsFactory,
double sigma1,
double sigma2,
double minPeakValue,
double normalizationFactor) |
ScaleSpace(Image<A> image,
ImageFactory<B> processFactory,
Converter<A,B> converter,
double initialSigma) |
Modifier and Type | Method and Description |
---|---|
ImageFactory<T> |
ImageTransform.getOutputImageFactory() |
Modifier and Type | Method and Description |
---|---|
void |
ImageTransform.setOutputImageFactory(ImageFactory<T> outputImageFactory) |
Constructor and Description |
---|
HoughLineTransform(Image<T> inputImage,
ImageFactory<S> factory,
int inNRho,
int inNTheta)
Create a
HoughLineTransform to operate against a given Image , with
a specific ImageFactory for the vote space, and
specific rho- and theta-resolution. |
HoughTransform(Image<T> inputImage,
int[] voteSize,
ImageFactory<S> voteFactory)
Constructor for a HoughTransform with a specific ImageFactory.
|
Modifier and Type | Method and Description |
---|---|
ImageFactory<T> |
Image.getImageFactory()
Returns the
ImageFactory of this Image . |
Constructor and Description |
---|
Image(ImageFactory<T> imageFactory,
int[] dim,
String name) |
Constructor and Description |
---|
Labeling(ImageFactory<LabelingType<T>> imageFactory,
int[] dim,
String name)
Create a named labeling from an image factory
|
Modifier and Type | Method and Description |
---|---|
protected static Thread |
LRFFTThreads.getCPUThread1(AtomicInteger ai,
Block[] blocks,
int[] blockSize,
ImageFactory<FloatType> factory,
Image<FloatType> image,
Image<FloatType> result,
FourierConvolution<FloatType,FloatType> fftConvolution1) |
protected static Thread |
LRFFTThreads.getCPUThread2(AtomicInteger ai,
Block[] blocks,
int[] blockSize,
ImageFactory<FloatType> factory,
Image<FloatType> image,
Image<FloatType> result,
FourierConvolution<FloatType,FloatType> fftConvolution2) |
protected static Thread |
LRFFTThreads.getCUDAThread1(AtomicInteger ai,
Block[] blocks,
int[] blockSize,
ImageFactory<FloatType> factory,
Image<FloatType> image,
Image<FloatType> result,
int deviceId,
Image<FloatType> kernel1) |
protected static Thread |
LRFFTThreads.getCUDAThread2(AtomicInteger ai,
Block[] blocks,
int[] blockSize,
ImageFactory<FloatType> factory,
Image<FloatType> image,
Image<FloatType> result,
int deviceId,
Image<FloatType> kernel2) |
protected static Image<FloatType> |
BayesMVDeconvolution.loadInitialImage(String fileName,
boolean checkNumbers,
float minValue,
int[] dimensions,
ImageFactory<FloatType> imageFactory) |
Modifier and Type | Method and Description |
---|---|
static <T extends RealType<T>> |
PairWiseStitchingImgLib.getImage(ij.ImagePlus imp,
Roi roi,
ImageFactory<T> imgFactory,
int channel,
int timepoint)
return an
Image<T> as input for the PhaseCorrelation. |
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