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HMRF-EM-image

Version 1.8.0.0 (812 KB) by Quan Wang
Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm
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Updated 8 Jul 2018

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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.
Document: https://arxiv.org/pdf/1207.3510.pdf

Cite As

Quan Wang (2023). HMRF-EM-image (https://www.mathworks.com/matlabcentral/fileexchange/37530-hmrf-em-image), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2008b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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HMRF-EM-image_v2.1/code/

Version Published Release Notes
1.8.0.0

Add link to document.
1.7.0.0

Rewrote several minor parts in C++.

1.6.0.0

Minor bugs have been fixed.

1.0.0.0