Hybrid Method of Spatial Credibilistic Clustering and Particle Swarm Optimization: Discussion and Application

As a critical unit of computer vision (CV) based applications, image segmentation is quite worth studying. Hybrid method of spatial credibilistic clustering and particle swarm optimization (SCCPSO) is a novel effective segmentation method. It´s proved to produce better results than other common methods. In this paper, SCCPSO is further investigated by discussing several key points such as membership function, initialization, pre-selection, and boundary conditions. Then the modified SCCPSO is put forth and applied in a CV-based inspection system to show its effectivity and better performance. The proposed method can be also used in other CV-based applications.