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.
Cite
@article{arxiv.1212.4527,
title = {GMM-Based Hidden Markov Random Field for Color Image and 3D Volume Segmentation},
author = {Quan Wang},
journal= {arXiv preprint arXiv:1212.4527},
year = {2012}
}