MATLAB Implementation of Region Growing Algorithm

This text provides a detailed explanation of the MATLAB program based on the region growing method. This program implements an image segmentation algorithm that divides images into distinct regions by analyzing pixel similarity. In the algorithm implementation, we first select a seed pixel and place it into a seed set. The program then iteratively adds similar pixels to this set and continues expanding the region until no new pixels can be incorporated. Key implementation considerations include strategies for seed pixel selection, similarity metric definitions, and termination criteria for algorithm expansion. The MATLAB code typically utilizes functions like imregionalmax for seed detection and implements neighborhood analysis using 4-connected or 8-connected pixel connectivity. Similarity thresholds are often calculated using intensity difference metrics or statistical measures. Developing such a program requires substantial theoretical knowledge in image processing and advanced MATLAB programming skills, particularly in matrix operations and iterative processing techniques.