Adaptive Harris Corner Detection Algorithm Based on B-spline Function

摘要：

Harris corner detection is a classic corner detection algorithm, but using Gaussian smoothing filter, there is phenomenon of corner information missing and corner migration. In this paper, to have a datafitting and low-pass characteristics of B-spline function introduced into the algorithm, construct a new filter, while introducing the idea of image subblock and the excluding neighboring points to build a B-spline-based adaptive Harris corner detection algorithm. The new corner detection algorithm to extract corner uniformity, positioning accuracy, and noise suppression is good. Through the experiment, the new algorithm significantly improves the image corner detection performance.

关键词： B-spline function Harris operator Corner Detection Local maxima Adaptive

作者: Yong Zhang Dongsheng Ji

作者单位: School of Computer and Communication,Lanzhou University of Technology Lanzhou,China

会议类型: 国际会议

会议名称: 2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics(第二届智能人机系统与控制论国际学术会议 IHMSC 2010)

会议地点: 南京

会议语种:英文

页码: 69-72

在线出版日期: 2010-08-26（万方平台首次上网日期，不代表论文的发表时间）