th_entropy.m File Reference

T = th_intermeans(I,n) More...

Functions
function T =	th_entropy (I, n)
	T = th_intermeans(I,n)
function x =	thentropy>E (y, j)

Detailed Description

T = th_intermeans(I,n)

Function Documentation

thentropy>E()

function x = thentropy>E	(		y,
			j )

th_entropy()

function T = th_entropy	(		I,
			n )

T = th_intermeans(I,n)

Find a global threshold for a grayscale image using the method based on the entropy of the image histogram.

In

I grayscale image n maximum graylevel (defaults to 255)

Out

T threshold

References:

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," Computer Vision, Graphics, and Image Processing, vol. 29, pp. 273-285, 1985.

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 Niemistö % % This file is part of HistThresh toolbox. % % HistThresh toolbox is free software: you can redistribute it and/or modify % it under the terms of the GNU General Public License as published by % the Free Software Foundation, either version 3 of the License, or % (at your option) any later version. % % HistThresh toolbox is distributed in the hope that it will be useful, % but WITHOUT ANY WARRANTY; without even the implied warranty of % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the % GNU General Public License for more details. % % You should have received a copy of the GNU General Public License % along with HistThresh toolbox. If not, see http://www.gnu.org/licenses/.

References A(), min, and n.

Referenced by mibHistThresController.continueBtn_Callback(), and mibHistThresController.previewBtn_Callback().

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