One Improved Fuzzy Clustering based Image Segmentation Algorithm

摘要：

　　In this paper,we give a novel idea to modify the fuzzy clustering method for image segmentation.In the procedure of the existing clustering algorithms,Fuzzy C-Means(FCM),Spatial Fuzzy C-Means(SFCM),Shadowed C-Means(SCM)and Spatial Shadowed C-Means(SSCM),we update their membership value with guided filter to take more image information into it.Verified by the experiment result,our proposed method can effectively improve the clustering result.

作者: Li Guo Long Chen C. L. Philip Chen

作者单位: Department of Computer and Information Science University of Macau Avenida da Universidade,Taipa,Macau,China

会议类型: 国内会议

会议名称: 第七届社会计算会议

会议地点: 福州

会议语种:英文

页码: 1-6

在线出版日期: 2015-12-11（万方平台首次上网日期，不代表论文的发表时间）