学术论文

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

      Abstract:
      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.
      Author: Zeng Delu Zhou Zhiheng Xie Shengli
      作者单位: College of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
      年,卷(期): 2007, 17(10)
      分类号: O57
      机标分类号: TP3 TP2
      在线出版日期: 2007年11月26日
      基金项目: 国家自然科学基金,广东省科学基金,科技部专项研究计划,国家博士后科学基金,国家自然科学基金