A New Corner Detection Method Based on Differential Code

摘要：

Detecting dominant points is an important subject in pattern recognition and computer vision. The paper sums up the traditional corner detection methods based on Freeman codes and presents a new way to detect corner. Firstly, the points are classified using the differential code and the exact corners and uncertain corners are got. Then the curvature of the uncertain corners is calculated, and the points whose curvature is greater than the threshold are candidate corner. At last the right corners based on the Moving Line method is got. Experimental results show that the proposed method is superior to the conventional methods. Besides, the proposed method can be carried out more quickly.

作者: Wu Shi-hu Yu Xu-chu Xu min

作者单位: Information Engineering University institute of Surveying and Mapping,Zhengzhou 450052,China

会议类型: 国际会议

会议名称: International Conference on Space Information Technology 2009(2009年第三届空间信息技术国际会议)

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2009-11-26（万方平台首次上网日期，不代表论文的发表时间）