2-D fuzzy maximum entropy method in image segmentation based on DPSO

摘要：

The 2-D fuzzy maximum entropy image segmentation method is studied in this paper,for the problems that the method is complex,time-consuming and lack of practicability during evaluating threshold,a 2-D fuzzy maximum entropy image segmentation method based on DPSO is presented.The proposed method searches the 2-D space of threshold using DPSO,and takes the gray scale value of pixel and the gray scale mean value of region corresponding to the 2-D maximum entropy value in the search space as the threshold for image segmentation.Furthermore,a mutation strategy is designed to avoid premature convergence.Simulation result showed the good efficiency of DPSO to image segmentation．

关键词： image segmentation 2 - D fuzzy maximum entropy DPSO PSO QPSO

作者: Jie Tian Jian-chao Zeng Zhi-hua Cui Ming-dong Hou

作者单位: Division of System Simulation and Computer Application,Tianyuan University of Science and Technology Research on intelligent control and its application.Shandong Labour Vocational and Technology colleg

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）