Image Segmentation Based on Modified Particle Swarm Optimization and Fuzzy C-Means Clustering Algorithm
In order to solve the problems of the fuzzy C-meaus (FCM) clustering algorithm when it is applied to the image segmentation such as making itself easily traps into local optimum and huge calculation,an image segmentation algorithm based on the modified particle swarm optimization(MPSO)and FCM clustering algorithm is proposed.The simulation results and the comparison between the proposed algorithm and FCM algorithm indicate that the proposed algorithm can obtain better segmentation effects and excel the existing FCM algorithm in several performance,such as the average dispersion,the maximum intra-distance between pixel and their cluster center,and the minimum interdistance between any pair of clusters.
particle swarm algorithm fuzzy C-means clustering image segmentation
ZHOU Xian-cheng
School of Computer and Electronic Engineering, Hunan University of Commerce
国际会议
长沙
英文
611-616
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）