mpicbg.imglib.algorithm.pde

Class AnisotropicDiffusion.StrongEdgeEnhancer

java.lang.Object

mpicbg.imglib.algorithm.pde.AnisotropicDiffusion.StrongEdgeEnhancer

All Implemented Interfaces:

AnisotropicDiffusion.DiffusionFunction

Enclosing class:

AnisotropicDiffusion<T extends RealType<T>>

public static class AnisotropicDiffusion.StrongEdgeEnhancer
extends Object
implements AnisotropicDiffusion.DiffusionFunction

The first diffusion function proposed by Perona & Malik. This one privileges strong edges over weak ones.

 g(∇I) = exp( - (||∇I/κ||²) )

Constructor Summary

Constructors

Constructor and Description
StrongEdgeEnhancer(double kappa)

Method Summary

Modifier and Type	Method and Description
double	eval(double gradi, int[] position) Return the conduction coefficient in a given direction, from the value of the image gradient in that direction

Methods inherited from class java.lang.Object

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

Constructor Detail

StrongEdgeEnhancer

public StrongEdgeEnhancer(double kappa)

Method Detail

eval

public double eval(double gradi,
                   int[] position)

Description copied from interface: AnisotropicDiffusion.DiffusionFunction

Return the conduction coefficient in a given direction, from the value of the image gradient in that direction

Specified by:

eval in interface AnisotropicDiffusion.DiffusionFunction

Parameters:

gradi - value of the image gradient in the given direction

position - an int array that holds the relative gradient direction

Returns:

the conduction coefficient