GMM-HMRF

Version 1.2 (3,15 MB) von Quan Wang
GMM-Based Hidden Markov Random Field for Color Image and 3D Volume Segmentation
4,3K Downloads
Aktualisiert 15. Jun 2023

GMM-HMRF View GMM-HMRF on File Exchange arxiv

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:

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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}
}

Zitieren als

Quan Wang (2025). GMM-HMRF (https://github.com/wq2012/GMM-HMRF/releases/tag/v1.2), GitHub. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2008b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux

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Version Veröffentlicht Versionshinweise
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

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.