Title :
Ant Colony Fuzzy Clustering Algorithm Applied to SAR Image Segmentation
Author :
Chunmao, Li ; Lingzhi, Wang ; Shunjun, Wu
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an
Abstract :
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
Keywords :
feature extraction; fuzzy systems; image segmentation; image texture; matrix algebra; radar imaging; statistical analysis; synthetic aperture radar; GLCM; SAR image segmentation; ant colony algorithm; dynamic fuzzy clustering algorithm; gray level cooccurrence matrix; statistic analysis; synthetic aperture radar; texture feature; Algorithm design and analysis; Biochemistry; Clustering algorithms; Feedback; Heuristic algorithms; Image analysis; Image segmentation; Radar signal processing; Signal processing algorithms; Synthetic aperture radar; SAR image segmentation; ant colony algorithm; fuzzy clustering; gray level co-occurrence matrix;
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
DOI :
10.1109/ICR.2006.343521
