Image Segmentation using Split and Merge Algorithm

This is a MATLAB-based image processing code that implements image segmentation using the split and merge algorithm. The package includes both m-files containing the core algorithmic implementation and a graphical user interface (GUI) for convenient operation and debugging. Image segmentation is a fundamental task in image processing that helps identify and extract different regions of interest within an image. The split and merge algorithm works by recursively dividing the image into quadrants (split phase) and then merging similar adjacent regions based on homogeneity criteria (merge phase). Key implementation features include: - Region homogeneity evaluation using statistical measures - Recursive quadrant splitting with customizable threshold parameters - Region merging based on similarity constraints - GUI components for parameter adjustment and real-time result visualization Through this code, users can efficiently perform accurate image segmentation and proceed with subsequent processing and analysis tasks. The implementation provides flexibility in parameter tuning and supports various image formats for comprehensive segmentation experimentation.