Modified Particle Swarm Optimization for Active Contour Modelling

摘要：

The technique of active contour modelling (ACM) plays a significant role in image segmentation. In this paper, we develop a modified particle swarm optimization (MPSO) method, and then present a MPSO based image segmentation algorithm with the idea of ACM. We use some control points on the contour as particles in MPSO. Considering the fact that object boundaries may have different features in different parts, and avoiding intersections in the contour evolution of ACM, we design a novel scheme for the restriction of velocity updates. So the best discovered position for next round velocity update is no more computed by traditional method of PSO. The implementation shows that the proposed MPSO can perform image segmentation greatly.

作者: Delu Zeng Zhiheng Zhou

作者单位: College of Electronic & Information Engineering South China University of Technology Guangzhou,510641 P.R.China

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）