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Ant Colony Fuzzy Clustering Algorithm Applied to SAR Image Segmentation

A method of dynamic fuzzy clustering analysis based on ant colony algorithm for SAR image segmentation is proposed. The method confirms dynamically the clustering number and center by the stronger fuzzy clustering ability of ant colony algorithm. Texture feature of SAR image is calculated according to gray level co-occurrence matrix (GLCM), and the proper feature vector is selected through statistic analysis. The measurement SAR image segmentation experiment indicates that the algorithm can segment the target fast and exactly, and is an effective SAR image segmentation method