HMRF-EM-image: Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm

2012/07/15 by Quan Wang, Wang, Quan · 1 citation
Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Object Detection Techniques #Medical Image Segmentation Techniques

paper · pdf · doi:10.48550/arxiv.1207.3510

openalex publication_date 2012/07/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

Citations

• A Computational Approach to Edge Detection

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