Research on Image Filtering Based on Particle Swarm Optimization (PSO) Algorithm

摘要：

PSO algorithm is an optimization tool based on population,which starts from random solution,finds an optimal value via iteration and has the characteristics of simplicity,efficiency,high precision and quick convergence. This paper proposes to adopt a random inertia weight (RIW) method to seek the optimal parameter of a fuzzy membership function,then perform fuzzy median filtering on the noise image and recover the gray value of the noise stained pixel point. Experimental results indicate that the method put forward in this paper can filter noise in image perfectly and has strong adaptability.

关键词： PSO Image Filtering Median filtering

作者: Zhuang Wu

作者单位: Information College,Capital University of Economics and Business,Beijing 100070,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 293-296

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）