关键词: 模糊C-均值, 粒子群优化, 图像分割, 多阈值

Abstract: Fuzzy C-mean clustering algorithm is a local search algorithm because it is easily trapped local optimum and is sensitive to initial value effectively.On the other hand，particle swarm optimization algorithm is a global optimization algorithm.By incorporating the local search ability of FCM algorithm and the global optimization ability of PSO and taking the clustering criterion function of FCM as the object function of PSO，a new hybrid multi-threshold image segmentation algorithm based on particle swarm optimization and fuzzy C-mean algorithm is proposed.Experiments show that the new algorithm can get the optimal threshold by the maximum entropy.

Key words: fuzzy C-mean, Particle Swarm Optimization（PSO）, image segmentation, multi-threshold