HMRF-EM-image

Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm

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:

• https://www.mathworks.com/matlabcentral/fileexchange/37530-hmrf-em-image

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}
}