A contour extraction method of coke optical texture based on edge confidence map

摘要：

Contour information is an important feature in recognition of coke microscopic optical texture. In view of the characteristic of coke microscopic, a contour extraction method, which is based on joint edge confidence map and dual threshold, is proposed. At first, an edge confidence map with gradient magnitude and orientation is built, then non-maximum suppression is employed to obtain local external points; by setting dual thresholds and judge location of points, appropriate edge points are obtained; by tracking these edge points, contour is formed. In this method, parameters can be auto-adjusted. Experimental results show, with the proposed method, the weak contour can be detected, continuity and fine details of contours of different optical texture components can be preserved, which is an important basis of subsequent contour feature extraction and corresponding optical texture component recognition.

关键词： Optical texture of coke Edge confidence map Contour extraction

作者: Peizhen Wang Jialong Miao Fang Zhou Dailin Zhang

作者单位: School of Electrical Engineering & Informationt, Anhui University of Technology, Maanshan, China Key Laboratory of Clean Conversion and Utilization, Anhui University of Technolgy, Maanshan, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 2882-2885

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）