Image Edge Detection Based on Particle Swarm Clustering Algorithm

this paper proposes a method of image edge detection based on dynamic particle swarm clustering algorithm.The FCM algorithm is easy to fall into local optimum,and initialize sensitive particle swarm algorithm uses the strong global optimization ability and local search ability to dynamically determine the number of clusters and centers,then this foundation has conducted FCM clustering.Both can be effectively combined to effectively search the global optimal solution.Experimental results demonstrate the superior performance of the proposed approach.