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Proceedings Paper

A new corner detection method based on differential code
Author(s): Shi-hu Wu; Xu-chu Yu; Min Xu
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Paper Abstract

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.

Paper Details

Date Published: 2 April 2010
PDF: 6 pages
Proc. SPIE 7651, International Conference on Space Information Technology 2009, 765125 (2 April 2010); doi: 10.1117/12.855497
Show Author Affiliations
Shi-hu Wu, Information Engineering Univ. (China)
Xu-chu Yu, Information Engineering Univ. (China)
Min Xu, Information Engineering Univ. (China)


Published in SPIE Proceedings Vol. 7651:
International Conference on Space Information Technology 2009
Xingrui Ma; Baohua Yang; Ming Li, Editor(s)

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