A Robust Comer Detector Based on Curvature Scale Space and Harris

摘要：

The traditional corner detector based on Curvature Scale Space is sensitive to noise, and has its limitations in detecting certain X corners. On the basis of studying CSS corner detector, this paper proposes a refined corner detector, where we use both CSS and Harris corner detector to detect corners, and then use the clustering method to analyze the candidate corners and assign the clustering centers as the coordinates of detected corners. Experiment results show that the proposed method offers a robust and effective solution to eliminate falsely detected corners and redundant corners.

关键词： corner detection Curve Scale Space Harris clustering CSSH

作者: Zhili Li Yanchun Shen

作者单位: Beijing Information Science & Technology University, Beijing, China

会议类型: 国际会议

会议名称: 2011 International Conference on Image Analysis and Signal Processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

会议地点: 武汉

会议语种:英文

页码: 223-226

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）