th_maxlik.m File Reference

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

Functions
function T =	th_maxlik (I, n)
	T = th_maxlik(I,n)

Detailed Description

T = th_maxlik(I,n)

Function Documentation

th_maxlik()

function T = th_maxlik	(		I,
			n )

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 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(), B(), C(), n, and th_minimum().

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

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