Vector bundle constraint for particle swarm optimization and its application to active contour modeling

作     者：Zeng Delu, Zhou Zhiheng and Xie Shengli(College of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China) 

作者机构：College of Electronic and Information Engineering South China University of Technology Guangzhou 510641 China 

出 版 物：《Progress in Natural Science:Materials International》 (自然科学进展·国际材料(英文))

年 卷 期：2007年第17卷第10期

页      面：1220-1225页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 070105[理学-运筹学与控制论] 0701[理学-数学] 

基　　金：Supported by National Fund for Distinguished Young Scholars ( Grant No 60325310) Guangdong Province Science Foundation ( Grant Nos 04205783 ,07006490) Specialized Prophasic Basic Research Projects of Ministry of Science and Technology , China (Grant No 2005CCA04100) China Postdoctoral Science Foundation (Grant No 20060390728) the Key Project of National Natural Science Foundation of China (Grant No U0635001) 

主　　题：boundary extraction active contour modeling particle swarm optimization velocity update vector bundle. 

摘      要：Active contour modeling (ACM) has been shown to be a powerful method in object boundary extraction. In this paper, a new ACM based on vector bundle constraint for particle swarm optimization (VBCPSO-ACM) is proposed. Different from the traditional particle swarm optimization (PSO), in the process of velocity update, a vector bundle is predefined for each particle and velocity update of the particle is restricted to its bundle. Applying this idea to ACM, control points on the contour are treated as particles in PSO and the evolution of the contour is driven by the particles. Meanwhile, global searching is shifted to local searching in ACM by decreasing the number of neighbors and inertia. In addition, the addition and deletion of particles on the active contour make this new model possible for representing the real boundaries more precisely. The proposed VBCPSO-ACM can avoid self-intersection during contour evolving and also extract inhomogeneous boundaries. The simulation results proved its great performance in performing contour extraction.