GMM-HMRF

Version 1.2 (3.15 MB) by Quan Wang
GMM-Based Hidden Markov Random Field for Color Image and 3D Volume Segmentation
4.3K Downloads
Updated 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:

pic

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}
}

Cite As

Quan Wang (2024). GMM-HMRF (https://github.com/wq2012/GMM-HMRF/releases/tag/v1.2), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2008b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes
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

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.