Chaotic Particle Swarm Optimization Algorithm for Producing Texture “Tuned” Masks

In order to overcome defects of traditional method for producing texture "Tuned" template this paper introduces the principle and steps of producing texture "Tuned" masks with chaotic particle swarm optimization algorithm;moreover,how to train "Tuned" masks with proposed method is illustrated in details.In the end,the proposed approaches have been implemented and tested on several real aerial images.Experiments results demonstrate that the proposed methods provide good search performance which are efficient methods to train "Tuned" masks;in addition,the performance of PSO and CPSO is compared,which indicates that the proposed method is promising in the practical application.