@Deprecated public class GaussGeneral<T extends NumericType<T>> extends AbstractGauss<T>
| Constructor and Description |
|---|
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. |
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. |
| Modifier and Type | Method and Description |
|---|---|
protected Img<T> |
getProcessingLine(long sizeProcessLine)
Deprecated.
|
call, computeKernel, createInputLineSampler, createOutputLineWriter, getFactory, getInput, getInputInterval, getKernel, getNumThreads, getOutput, getOutputOffset, getProcessingType, getRange, getResult, getSigma, getTemporaryImgSize, getTmp1, getTmp2, numDimensions, processLine, setNumThreads, type, updateInputLineSampler, updateOutputLineWriter, writeLinepublic GaussGeneral(double[] sigma,
RandomAccessible<T> input,
Interval interval,
ImgFactory<T> factory,
T type)
RandomAccessible in a
certain Interval and returns an Img defined by the
ImgFactory containing the result.
WARNING: This is a very slow implementation as it is not written for
NativeType. If your type is NativeType, use
GaussNativeType instead!sigma - - the sigma for the convolutioninput - - the RandomAccessible to work oninterval - - the area that is convolvedfactory - - the ImgFactory that defines the temporary and output
images to be usedpublic GaussGeneral(double[] sigma,
RandomAccessible<T> input,
Interval interval,
RandomAccessible<T> output,
Localizable outputOffset,
ImgFactory<T> factory,
T type)
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. If your type is NativeType, use
GaussNativeType instead!sigma - - the sigma for the convolutioninput - - the RandomAccessible to work oninterval - - the area that is convolvedoutput - - the RandomAccessible where the output will be
written tooutputOffset - - the offset that corresponds to the first pixel in output
RandomAccessiblefactory - - the ImgFactory for creating temporary imagespublic GaussGeneral(double[] sigma,
Img<T> input)
Img using the OutOfBoundsMirrorFactory with single
boundary
WARNING: This is a very slow implementation as it is not written for
NativeType. If your type is NativeType, use
GaussNativeType instead!sigma - - the sigma for the convolutioninput - - the input Imgpublic GaussGeneral(double[] sigma,
Img<T> input,
OutOfBoundsFactory<T,Img<T>> outOfBounds)
Img using the OutOfBoundsMirrorFactory with single
boundary
WARNING: This is a very slow implementation as it is not written for
NativeType. If your type is NativeType, use
GaussNativeType instead!sigma - - the sigma for the convolutioninput - - the input Imgprotected Img<T> getProcessingLine(long sizeProcessLine)
getProcessingLine in class AbstractGauss<T extends NumericType<T>>Copyright © 2015–2022 ImgLib2. All rights reserved.