MATLAB Implementation of FCM Algorithm for Image Segmentation
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Resource Overview
Implementation of FCM-based image segmentation in MATLAB requires calling main(image, C) function where 'image' must be a pre-loaded JPG file and 'C' specifies the number of clusters for classification using Fuzzy C-Means algorithm.
Detailed Documentation
You can implement the FCM (Fuzzy C-Means) image segmentation algorithm using MATLAB. Simply call the main(image, C) function within MATLAB to execute the segmentation process. When calling the function, ensure you have pre-loaded a JPG format image as input and specified the cluster count parameter C. The implementation utilizes fuzzy logic principles where each pixel can belong to multiple clusters with varying membership degrees, calculated through iterative optimization of cluster centroids and membership values. The algorithm processes image pixels by converting them to appropriate feature vectors and applies FCM clustering to partition the image into C distinct regions based on similarity measures.
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