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17 Jul 2012 (Updated )

Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm

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In this project, we study the hidden Markov random field (HMRF) model and its expectation-maximization (EM) algorithm. We implement a MATLAB toolbox named HMRF-EM-image for 2D image segmentation using the HMRF-EM framework. This toolbox also implements edge-prior-preserving image segmentation, and can be easily reconfigured for other problems, such as 3D image segmentation.

Required Products MATLAB Compiler
MATLAB release MATLAB 7.7 (R2008b)
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Comments and Ratings (3)
04 Apr 2014 Regan Dhakshnamurthy

How can i use this for multispectral classification with PCA ?

03 Mar 2014 Siqi


03 Jul 2013 Octa

The program is working properly.

Can you suggest how to apply it for segmenting gray matter from an MRI Scan Image?

Thank you.

26 Dec 2012

Minor bugs have been fixed.

17 Mar 2014

Rewrote several minor parts in C++.

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