Image Segmentation Based on Local Fuzzy C-Means Clustering Algorithm
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This MATLAB source code implements image segmentation using the Local Fuzzy C-Means (LFCM) clustering algorithm. The algorithm performs clustering operations on images to partition them into distinct regions where pixels within each region share similar characteristics. The implementation includes neighborhood-based spatial constraints that improve segmentation accuracy compared to standard FCM. Key functions handle pixel intensity analysis, cluster center initialization, and membership degree calculations using Gaussian kernel-based distance metrics. This method effectively achieves image segmentation and extracts critical information by iteratively optimizing cluster centers and membership values while considering local spatial relationships. The code features adjustable parameters for cluster numbers, fuzzification coefficients, and neighborhood window sizes to accommodate various image types.
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