Thresholding Approaches with Interval-valued Fuzzy Sets to Image Segmentation

摘要：

Thresholding approaches are fundamental and impor-tant techniques in image segmentation.There exist lots ofintegrated techniques of thresholding methods with fuzzysets theory.The fuzzy compactness and fuzzy divergence arepowerful tools in dealing with vague and imprecise data,and are widely applied to thresholding segmentation forimages.This paper extends the two kinds of fuzzy mea-sures to interval-valued fuzzy sets to eliminate uncertain as-signments of membership degrees of pixels in images.Twothresholding techniques are proposed for image segmenta-tion.The affinity characteristics of pixels in images aresufficiently considered in the new techniques.The experi-mental results show that the selection of initial membershipfunctions brings little impact on thresholding segmentationof images.

作者: Tingquan Deng Peipei Wang Yuling Mei Wenjie Liu

作者单位: College of Science,Harbin Engineering University,Harbin 150001 P.R.China

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 1059-1064

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）