org.openimaj.image.processing.algorithm

Class AnisotropicDiffusion.HighConstrastEdgeFunction

java.lang.Object

org.openimaj.image.processing.algorithm.AnisotropicDiffusion.HighConstrastEdgeFunction

All Implemented Interfaces:

AnisotropicDiffusion.ConductionCoefficientFunction

Enclosing class:

AnisotropicDiffusion

public static class AnisotropicDiffusion.HighConstrastEdgeFunction
extends Object
implements AnisotropicDiffusion.ConductionCoefficientFunction

The first conduction function proposed by Perona & Malik, that privileges high contrast edges over low constrast ones.

 g(∇I) = exp( - (||∇I/κ||²) )
 

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Constructor Summary

Constructors

Constructor and Description
HighConstrastEdgeFunction(float kappa) Construct with the given kappa value

Method Summary

Modifier and Type	Method and Description
float	apply(float val, int x, int y) Compute the conduction coefficient given gradient and position.

Methods inherited from class java.lang.Object

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

Constructor Detail

HighConstrastEdgeFunction

public HighConstrastEdgeFunction(float kappa)

Construct with the given kappa value

Parameters:

kappa - kappa

Method Detail

apply

public float apply(float val,
                   int x,
                   int y)

Description copied from interface: AnisotropicDiffusion.ConductionCoefficientFunction

Compute the conduction coefficient given gradient and position.

Specified by:

apply in interface AnisotropicDiffusion.ConductionCoefficientFunction

Parameters:

val - the gradient

x - the x-position in the image

y - the y-position in the image

Returns:

the conduction coefficient