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《Electronic Test》 2014-01
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An Improved Ant Colony Clustering Image Segmentation

Yu Bin;College of Electronic and Information Engineering,LanZhou JiaoTong University;  
Ant colony algorithm is good of robustness and global type, but the fuzzy C- means algorithm is too dependent on the initial value,resulting in easy to fall into the disadvantage of the local optimum value,Combining with the two algorithms is put forward,the ant colony algorithm find the optimum value, the obtained results are taken as the initial parameters for FCM clustering algorithm,and then the image is divided by using FCM clustering algorithm,an improved method in the basis of the proposed,through the experiment, the improved method has made great progress in image segmentation.
【CateGory Index】: TP391.41
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