Hybrid KFCM-PSO Clustering Technique for Image Segmentation

Abstract

In this paper, an image segmentation algorithm is proposed which is Kernel-based Fuzzy c-means using Particle Swarm Optimization (KFCM-PSO). This algorithm uses kernel function as it is a generalized distance metric that maps data points into high-dimensional plane where the data points are more clearly separable. Kernel-based Fuzzy c-means are integrated with Particle Swarm Optimization because the traditional Fuzzy c-means algorithm falls into local optima problem whereas PSO is a global optimization algorithm. Comparison of the proposed algorithm with existing FCM, KFCM, and FCM-PSO algorithms is done and the results show that the proposed algorithm gives better results than others.