Module org.scijava.ops.image

Package org.scijava.ops.image.threshold.maxLikelihood

Class ComputeMaxLikelihoodThreshold<T extends RealType<T>>

java.lang.Object

org.scijava.ops.image.threshold.AbstractComputeThresholdHistogram<T>

org.scijava.ops.image.threshold.maxLikelihood.ComputeMaxLikelihoodThreshold<T>

All Implemented Interfaces:

BiConsumer<Histogram1d<T>,T>, Computers.Arity1<Histogram1d<T>,T>

public class ComputeMaxLikelihoodThreshold<T extends RealType<T>>
extends AbstractComputeThresholdHistogram<T>

Implements a maximum likelihood threshold method by Dempster, Laird, & Rubin and Glasbey.

Author:

Barry DeZonia

Implementation Note:

op names='threshold.maxLikelihood'

Constructor Summary

Constructors

Constructor	Description
ComputeMaxLikelihoodThreshold()

Method Summary

Modifier and Type	Method	Description
static long	computeBin(long[] histogram)	T = th_maxlik(I,n)
long	computeBin(Histogram1d<T> hist)	TODO

Methods inherited from class org.scijava.ops.image.threshold.AbstractComputeThresholdHistogram

compute

Methods inherited from class java.lang.Object

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

Methods inherited from interface java.util.function.BiConsumer

andThen

Methods inherited from interface org.scijava.function.Computers.Arity1

accept

Constructor Detail

ComputeMaxLikelihoodThreshold

public ComputeMaxLikelihoodThreshold()

Method Detail

computeBin

public long computeBin(Histogram1d<T> hist)

TODO

Specified by:

computeBin in class AbstractComputeThresholdHistogram<T extends RealType<T>>

Parameters:

hist - the Histogram1d

Returns:

the Max Likelihood threshold value

computeBin

public static long computeBin(long[] histogram)

T = th_maxlik(I,n)

Find a global threshold for a grayscale image using the maximum
likelihood via expectation maximization method.

In: I grayscale image n maximum graylevel (defaults to 255)

Out: T threshold

References:

A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood
from incomplete data via the EM algorithm," Journal of the Royal
Statistical Society, Series B, vol. 39, pp. 1-38, 1977.

C. A. Glasbey,
"An analysis of histogram-based thresholding algorithms," CVGIP:
Graphical Models and Image Processing, vol. 55, pp. 532-537, 1993.

Copyright (C) 2004-2013 Antti Niemistˆ See README for more copyright
information.