Module org.scijava.ops.image

Package org.scijava.ops.image.filter.derivativeGauss

Class DefaultDerivativeGauss<T extends RealType<T>>

java.lang.Object

org.scijava.ops.image.filter.derivativeGauss.DefaultDerivativeGauss<T>

All Implemented Interfaces:

Computers.Arity3<RandomAccessibleInterval<T>,double[],int[],RandomAccessibleInterval<DoubleType>>, Consumers.Arity4<RandomAccessibleInterval<T>,double[],int[],RandomAccessibleInterval<DoubleType>>

public class DefaultDerivativeGauss<T extends RealType<T>>
extends Object
implements Computers.Arity3<RandomAccessibleInterval<T>,double[],int[],RandomAccessibleInterval<DoubleType>>

Performs the 2-D partial derivative Gaussian kernel convolutions on an image, at a particular point.

Author:

Gabriel Selzer

Implementation Note:

op names='filter.derivativeGauss'

Constructor Summary

Constructors

Constructor	Description
DefaultDerivativeGauss()

Method Summary

Modifier and Type	Method	Description
void	compute(RandomAccessibleInterval<T> input, double[] sigma, int[] derivatives, RandomAccessibleInterval<DoubleType> output)	TODO

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.scijava.function.Computers.Arity3

accept

Methods inherited from interface org.scijava.function.Consumers.Arity4

andThen

Constructor Detail

DefaultDerivativeGauss

public DefaultDerivativeGauss()

Method Detail

compute

public void compute(RandomAccessibleInterval<T> input,
                    double[] sigma,
                    int[] derivatives,
                    RandomAccessibleInterval<DoubleType> output)

TODO

Specified by:

compute in interface Computers.Arity3<RandomAccessibleInterval<T extends RealType<T>>,double[],int[],RandomAccessibleInterval<DoubleType>>

Parameters:

input -

sigma - the sigma in each dimension of the gaussian

derivatives - the value at each index indicates the derivative to take in each dimension of the image.

output -