GMM-HMRF
GMM-HMRF
Overview
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.
This library is also available on MathWorks:
Citations
If you use this library, please cite:
@article{wang2012gmm,
title={GMM-based hidden Markov random field for color image and 3D volume segmentation},
author={Wang, Quan},
journal={arXiv preprint arXiv:1212.4527},
year={2012}
}
인용 양식
Quan Wang (2024). GMM-HMRF (https://github.com/wq2012/GMM-HMRF/releases/tag/v1.2), GitHub. 검색됨 .
MATLAB 릴리스 호환 정보
플랫폼 호환성
Windows macOS Linux카테고리
- Image Processing and Computer Vision > Image Processing Toolbox > 3-D Volumetric Image Processing >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation >
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버전 | 게시됨 | 릴리스 정보 | |
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1.2 | See release notes for this release on GitHub: https://github.com/wq2012/GMM-HMRF/releases/tag/v1.2 |
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1.1.0.0 | Rewrote some minor parts in C++. |
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1.0.0.0 |