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}
}
Cita come
Quan Wang (2024). GMM-HMRF (https://github.com/wq2012/GMM-HMRF/releases/tag/v1.2), GitHub. Recuperato .
Compatibilità della release di MATLAB
Compatibilità della piattaforma
Windows macOS LinuxCategorie
- 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 >
Tag
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Scopri Live Editor
Crea script con codice, output e testo formattato in un unico documento eseguibile.
code/color-image
code/three-dimensional
Versione | Pubblicato | Note della release | |
---|---|---|---|
1.2 | See release notes for this release on GitHub: https://github.com/wq2012/GMM-HMRF/releases/tag/v1.2 |
||
1.1.0.0 | Rewrote some minor parts in C++. |
||
1.0.0.0 |