GMM based Hidden Markov Random Field for Color Ima
2016-08-23
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In this model, we first study the Gaussian-based hidden Markov random field (HMRF) model and its expectationmaximization (EM) algorithm. Then we generalize it toaussian 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.
Markov random fields (MRFs) have been widely used for computer vision problems, such as image segmentation , surface reconstruction and depth inference.
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