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GMM-HMRF

version 1.1.0.0 (3.06 MB) by Quan Wang
GMM-Based Hidden Markov Random Field for Color Image and 3D Volume Segmentation

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Updated 17 Mar 2014

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In this project, we first study the Gaussian-based hidden Markov random field (HMRF) model and its expectation-maximization (EM) algorithm. Then we generalize it to Gaussian mixture model-based hidden Markov random field. The algorithm is implemented in MATLAB. We also apply this algorithm to color image segmentation problems and 3D volume segmentation problems.

Cite As

Quan Wang (2020). GMM-HMRF (https://www.mathworks.com/matlabcentral/fileexchange/39553-gmm-hmrf), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (4)

jo_jo1997

Hi, please, does it work with gray image?

sezen onol

ujjwal baid

Unable to run in maatlab.
lcc preprocessor error: BoundMirrorExpand.cpp:28 Could not find include file <cstdlib>
lcc preprocessor error: BoundMirrorExpand.cpp:29 Could not find include file <cstdio>
lcc preprocessor error: BoundMirrorExpand.cpp:30 Could not find include file <cmath>
lcc preprocessor error: BoundMirrorExpand.cpp:31 Could not find include file <iostream>

Siqi

Useful!

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

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