HMRF-EM-image
Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm
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}
}
인용 양식
Quan Wang (2024). HMRF-EM-image (https://github.com/wq2012/HMRF-EM-image/releases/tag/v2.1), GitHub. 검색됨 .
MATLAB 릴리스 호환 정보
개발 환경:
R2008b
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux카테고리
Help Center 및 MATLAB Answers에서 Markov Chain Models에 대해 자세히 알아보기
태그
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!code
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.