| Modifier and Type | Class and Description |
|---|---|
class |
CanvasImage<T extends Type<T>>
TODO
|
class |
ROIAlgorithm<T extends RealType<T>,S extends RealType<S>>
ROIAlgorithm implements a framework against which to build operations of one image against
another, like convolution, cross-correlation, or morphological operations.
|
| Modifier and Type | Class and Description |
|---|---|
class |
Bandpass<T extends NumericType<T>>
TODO
|
class |
FourierConvolution<T extends RealType<T>,S extends RealType<S>>
TODO
|
class |
FourierTransform<T extends RealType<T>,S extends ComplexType<S>>
TODO
|
class |
InverseFourierConvolution<T extends RealType<T>,S extends RealType<S>>
Convolve an image with the inverse of a kernel which is division in the Fourier domain.
|
class |
InverseFourierTransform<T extends RealType<T>,S extends ComplexType<S>>
TODO
|
| Modifier and Type | Class and Description |
|---|---|
class |
FloydSteinbergDithering<T extends RealType<T>>
TODO
|
| Modifier and Type | Class and Description |
|---|---|
class |
DownSample<T extends RealType<T>>
TODO
|
class |
GaussianConvolution<T extends NumericType<T>>
TODO
|
class |
GaussianConvolution2<A extends Type<A>,B extends NumericType<B>>
TODO
|
class |
GaussianConvolution3<A extends Type<A>,B extends NumericType<B>,C extends Type<C>>
Computes a Gaussian Convolution on any
Type(A) for which is defined how to convert it into a NumericType(B) on which the convolution is performed and back to the desired output Type(C). |
class |
GaussianConvolution4<A extends Type<A>,B extends ExponentialMathType<B>,C extends Type<C>>
TODO
|
class |
GaussianConvolutionReal<T extends RealType<T>>
TODO
|
| Modifier and Type | Class and Description |
|---|---|
class |
IntegralImage<R extends NumericType<R>,T extends NumericType<T>>
n-dimensional integral image that stores sums using type .
|
class |
IntegralImageDouble<R extends NumericType<R>>
Special implementation for double using the basic type to sum up the individual lines.
|
class |
IntegralImageLong<R extends NumericType<R>>
Special implementation for long using the basic type to sum up the individual lines.
|
class |
ScaleAreaAveraging2d<T extends RealType<T>,R extends RealType<R>>
TODO
|
| Modifier and Type | Class and Description |
|---|---|
class |
BinaryInterpolation2D
Given two binary images of the same dimensions,
generate an interpolated image that sits somewhere
in between, as specified by the weight.
|
class |
GradientWatershed<T extends RealType<T>,L extends Comparable<L>>
This class labels an image where the objects in question have
edges that are defined by sharp intensity gradients and have
centers of high intensity and a low intensity background.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ImageCalculator<S extends Type<S>,T extends Type<T>,U extends Type<U>>
TODO
|
class |
ImageCalculatorInPlace<S extends Type<S>,T extends Type<T>>
TODO
|
class |
ImageConverter<S extends Type<S>,T extends Type<T>>
TODO
|
class |
NormalizeImageFloat<T extends RealType<T>>
Normalizes a given
Image so that the sum of all of its pixels is equal to one
(or approximately so). |
class |
PickImagePeaks<T extends RealType<T>>
This class implements a very simple peak-picker, with optional ellipsoidal peak suppression.
|
| Modifier and Type | Class and Description |
|---|---|
class |
MaxProjection<T extends Comparable<T> & Type<T>>
Computes a maximum projection along an arbitrary dimension, if the image in 1-dimensional it will return an Image of size 1 with the max value
|
| Modifier and Type | Class and Description |
|---|---|
class |
DirectConvolution<T extends RealType<T>,R extends RealType<R>,S extends RealType<S>>
DirectConvolution is an ROIAlgorithm designed to do both convolution and cross-correlation
by operating on the image and kernel directly, rather than by using such time-saving tricks as
FFT.
|
class |
DirectCrossCorr<T extends RealType<T>,R extends RealType<R>,S extends RealType<S>>
DirectCrossCorr performs direct cross-correlation of a kernel against an image.
|
class |
MedianFilter<T extends RealType<T>>
Median filter / morphological operation.
|
class |
MorphClose<T extends RealType<T>>
Close morphological operation.
|
class |
MorphDilate<T extends RealType<T>>
Dilation morphological operation.
|
class |
MorphErode<T extends RealType<T>>
Erosion morphological operation.
|
class |
MorphOpen<T extends RealType<T>>
Open morphological operation.
|
class |
StatisticalOperation<T extends RealType<T>>
StatisticalOperation provides the framework to create Order Statistic operations.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ScaleSpace<A extends Type<A>,B extends RealType<B>>
TODO
|
| Modifier and Type | Method and Description |
|---|---|
protected OutputAlgorithm<A> |
DifferenceOfGaussianReal1.getGaussianConvolution(double[] sigma,
int numThreads)
This method returns the
OutputAlgorithm that will compute the Gaussian Convolutions, more efficient versions can override this method |
protected OutputAlgorithm<B> |
DifferenceOfGaussianReal.getGaussianConvolution(double[] sigma,
int numThreads)
This method returns the
OutputAlgorithm that will compute the Gaussian Convolutions, more efficient versions can override this method |
protected OutputAlgorithm<B> |
DifferenceOfGaussian.getGaussianConvolution(double[] sigma,
int nThreads)
This method returns the
OutputAlgorithm that will compute the Gaussian Convolutions, more efficient versions can override this method |
| Modifier and Type | Class and Description |
|---|---|
class |
HoughLineTransform<S extends RealType<S>,T extends Type<T> & Comparable<T>>
A class that extends
HoughTransform to handle Hough Line voting over an edge map. |
class |
HoughTransform<S extends RealType<S>,T extends Type<T> & Comparable<T>>
This abstract class provides some basic functionality for use with arbitrary Hough-like
transforms.
|
class |
ImageTransform<T extends Type<T>>
TODO
|
| Constructor and Description |
|---|
Process(OutputAlgorithm<? extends RealType<?>> algorithm)
Execute the given
OutputAlgorithm and prepare a cursor to deliver
its pixel values one by one in successive calls to eval(). |
| Modifier and Type | Class and Description |
|---|---|
static class |
DifferenceOfGaussianCUDA.CUDAOutput |
| Modifier and Type | Method and Description |
|---|---|
protected OutputAlgorithm<FloatType> |
DifferenceOfGaussianCUDA.getGaussianConvolution(double[] sigma,
int numThreads) |
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