net.sf.ij_plugins.thresholding

Class MaximumEntropyMultiThreshold

java.lang.Object

net.sf.ij_plugins.util.progress.DefaultProgressReporter

net.sf.ij_plugins.thresholding.MaximumEntropyMultiThreshold

All Implemented Interfaces:

ProgressReporter

public class MaximumEntropyMultiThreshold
extends DefaultProgressReporter

Author:

Jarek Sacha

Constructor Summary

Constructors

Constructor and Description
MaximumEntropyMultiThreshold()

Method Summary

Methods

Modifier and Type	Method and Description
int[]	maximumEntropy(int[] hist, int nbDivisions) Find maximum entropy split of a histogram.

Methods inherited from class net.sf.ij_plugins.util.progress.DefaultProgressReporter

addProgressListener, currentProgress, notifyProgressListeners, notifyProgressListeners, notifyProgressListeners, removeAllProgressListener, removeProgressListener, setCurrentProgress

Methods inherited from class java.lang.Object

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

Constructor Detail

MaximumEntropyMultiThreshold

public MaximumEntropyMultiThreshold()

Method Detail

maximumEntropy

public final int[] maximumEntropy(int[] hist,
                   int nbDivisions)

Find maximum entropy split of a histogram. It is a generalization of single split presented by J.N. Kapur, P.K. Sahoo and A.K.C. Wong, "A New Method for Gray-Level Picture Thresholding Using the Entropy of the Histogram", CVGIP, (29), pp.273-285 , 1985.

Parameters:

hist - histogram to be partitioned.

nbDivisions - desired number of thresholds.

Returns:

array containing values of maximum entropy thresholds.