GMM-Based Hidden Markov Random Field for Color Image and 3D Volume Segmentation

2012/12/18 by Quan Wang, Wang, Quan
Computer Science · #Image Retrieval and Classification Techniques #Medical Image Segmentation Techniques #Advanced Image and Video Retrieval Techniques

paper · pdf · doi:10.48550/arxiv.1212.4527

Abstract

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.

Related

• HMRF-EM-image: Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm
• MCMC joint separation and segmentation of hidden Markov fields
• NegCut: Automatic Image Segmentation based on MRF-MAP
• A hidden Markov Model for image fusion and their joint segmentation in medical image computing
• Detecting Markov Random Fields Hidden in White Noise