HMRF-EM-image
Overview
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
This library is also available at:
Citations
If you use this library, please cite:
@article{wang2012hmrf,
title={HMRF-EM-image: implementation of the hidden markov random field model and its expectation-maximization algorithm},
author={Wang, Quan},
journal={arXiv preprint arXiv:1207.3510},
year={2012}
}
Citar como
Quan Wang (2024). HMRF-EM-image (https://github.com/wq2012/HMRF-EM-image/releases/tag/v2.1), GitHub. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
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code
Versión | Publicado | Notas de la versión | |
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2.1 | See release notes for this release on GitHub: https://github.com/wq2012/HMRF-EM-image/releases/tag/v2.1 |
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1.8.0.0 | Add link to document. |
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1.7.0.0 | Rewrote several minor parts in C++. |
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1.6.0.0 | Minor bugs have been fixed. |
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1.0.0.0 |