MATLAB Image Segmentation Toolkit: Region Growing and Fuzzy C-Means Algorithms

This attachment contains multiple MATLAB files implementing image segmentation algorithms, featuring two prominent techniques: region growing and fuzzy c-means (FCM). The region growing algorithm operates by selecting seed points and iteratively merging neighboring pixels based on similarity criteria, implemented through functions handling pixel connectivity and threshold comparisons. The FCM algorithm employs fuzzy logic to assign pixels to multiple clusters with varying degrees of membership, utilizing MATLAB's matrix operations for efficient centroid calculation and membership updates. Both algorithms include parameter configuration options for adjusting segmentation sensitivity and cluster numbers. Users can execute these methods through main functions that handle image preprocessing, algorithm execution, and result visualization, providing flexibility for different image types and segmentation requirements. The implementations support standard image formats and include error handling for robust performance across various applications.