Image Segmentation Based on Modified Particle Swarm Optimization and Fuzzy C-Means Clustering

Abstract

In order to solve the problems of the fuzzy C-means (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 inter-distance between any pair of clusters.