Markov Random Field (MRF) Image Segmentation MATLAB Source Code

This documentation presents a MATLAB program titled "Markov Random Field (MRF) Image Segmentation Source Code" comprising over 30 well-organized functions. The implementation demonstrates Markov random field theory applied to image segmentation tasks, serving as an excellent educational resource for MRF beginners. Through this program, users can gain practical insights into MRF concepts and enhance their understanding of probabilistic graphical models in computer vision. The codebase includes core MRF components such as energy minimization functions, neighborhood system implementations, and optimization algorithms like Iterated Conditional Modes (ICM). Key modules handle parameter estimation, probability calculations, and label assignment processes typical in MRF-based segmentation. Detailed documentation and usage guidelines are provided to ensure smooth execution and maximum utilization of the program's capabilities. We welcome feedback and suggestions to help continuously improve and optimize this educational resource for the computer vision community.