An improved SUSAN corner detection algorithm based on adaptive threshold

摘要：

The SUSAN operator needs to adjust similarity threshold manually time after time in order to achieve a good corner detection results, and it cant detect some corners with special or complex shape. In view of this, the SLiSAN operator is improved by the authors of this paper. Firstly, an adaptive threshold selection method based on iterative operation is proposed, and then a discrete ring-shaped mask is added within the SUSANs circular mask so as to overcome the deficiency of the SUSAN operator. The experimental results show that the improved SUSAN ajgorithm can not only greatly improve the automation of program operation by releasing the programmers of adjusting threshold manually, but also obtain a good detection result for various types of corners.

关键词： adaptrve threshold SUSAN operator corner detection iterative operation USAN region

作者: Yang Xingfang Huang Yumei Li Yan

作者单位: College of Electrical and Information Xian Polytechnic University XAIST Xian China School of Mechnical Instrument Engineering Xian University of Technology. XAUT Xian China School of Mechnical Instrument Engineering Xian Umversity of Technology,XAUT Xian China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1453-1456

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）