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
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.
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Updates
| 1.1.0.0 | Rewrote some minor parts in C++. |
MATLAB Release Compatibility
Created with
R2008b
Compatible with any release
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ujjwal baid (view profile)
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 (view profile)
Useful!