Robust and automatic segmentation of a class of fuzzy edge images

摘要：

This paper concerns the segmentation of a class of images which consist of a background region,a fuzzy/blurry edge region,and an object region.In this class of images,the grayness gradually changes from the background region to the object region.To appropriately segment this class of images,the authors propose to model the fuzzy edge region using double-thresholds.In addition,a probability is assigned to each pixel in the fuzzy edge region for its membership to the object based on the differences between its grayness to the thresholds.To be robust,a statistical method,namely the maximum slope difference principle,is used to obtain optimal estimates of the thresholds automatically.Metal transfer images acquired from gas metal arc welding are used to demonstrate the algorithm and its effectiveness.

关键词： image processing welding manufacturing.

作者: ZhenZhou Wang YuMing Zhang

作者单位: Department of Electrical and Computer EngineeringUniversity of KentuckyLexington,Kentucky 40506,USA Department of Electrical and Computer Engineering University of Kentucky Lexington,Kentucky 40506,US

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）