FCM-Based Image Segmentation with MATLAB Implementation

In this documentation, I would like to share a MATLAB source code for image segmentation based on FCM (Fuzzy C-Means) algorithm. This source code provides significant reference value for beginners in computer vision. Image segmentation represents a crucial technique in computer vision that partitions images into distinct regions, facilitating better understanding of different image components. The FCM algorithm employs fuzzy clustering methodology to assign image pixels to various categories through iterative optimization of cluster centroids and membership functions. The implementation demonstrates key MATLAB functions including image preprocessing, cluster initialization, and iterative membership updates using the fuzzy partition matrix. Through studying this code, beginners can learn practical implementation of FCM algorithm for image segmentation, including handling of multidimensional feature vectors and convergence criteria setting. This hands-on approach will help enhance programming skills and deepen understanding of fuzzy clustering mechanisms in image analysis. We hope this source code proves beneficial for beginners entering the field of image processing!