Region Growing Algorithm Implementation in MATLAB

This text introduces a MATLAB source code implementation of the region growing algorithm. The code is designed for image processing tasks such as image segmentation and object detection. In image segmentation applications, the algorithm divides an image into distinct regions based on predefined criteria, typically using pixel intensity thresholds and connectivity rules. For object detection tasks, the algorithm helps identify object boundaries and contours by gradually expanding regions from seed points while maintaining homogeneity conditions. The region growing algorithm operates through several key functions: seed point selection, neighborhood pixel evaluation, and region expansion criteria. The MATLAB implementation likely includes functions for automatic seed selection, pixel connectivity checks (4-connected or 8-connected neighborhoods), and threshold-based similarity measures. The algorithm progressively adds adjacent pixels to regions when they satisfy specified similarity conditions, making it particularly effective for medical image analysis, remote sensing, and computer vision applications. This MATLAB code provides a practical implementation featuring configurable parameters for threshold values, seed point coordinates, and connectivity rules. Users can modify these parameters to adapt the algorithm to specific image characteristics and application requirements. If you are working on image segmentation or object detection projects, this region growing MATLAB source code offers a reliable foundation with clear commenting and modular structure for easy customization and integration into larger computer vision systems.