Share Email Print
cover

Proceedings Paper

An improved corner detection algorithm for image sequence
Author(s): Minqi Yan; Bianlian Zhang; Min Guo; Guangyuan Tian; Feng Liu; Zeng Huo
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

A SUSAN corner detection algorithm for a sequence of images is proposed in this paper, The correlation matching algorithm is treated for the coarse positioning of the detection area, after that, SUSAN corner detection is used to obtain interesting points of the target. The SUSAN corner detection has been improved. For the situation that the points of a small area are often detected as corner points incorrectly, the neighbor direction filter is applied to reduce the rate of mistakes. Experiment results show that the algorithm enhances the anti-noise performance, improve the accuracy of detection.

Paper Details

Date Published: 24 November 2014
PDF: 7 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93011C (24 November 2014); doi: 10.1117/12.2071559
Show Author Affiliations
Minqi Yan, Xi’an Institute of Optics and Precision Mechanics (China)
Bianlian Zhang, Xi’an Univ. (China)
Min Guo, Xi’an Institute of Optics and Precision Mechanics (China)
Guangyuan Tian, Xi’an Institute of Optics and Precision Mechanics (China)
Feng Liu, Xi’an Institute of Optics and Precision Mechanics (China)
Zeng Huo, Xi’an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 9301:
International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition
Gaurav Sharma; Fugen Zhou; Jennifer Liu, Editor(s)

© SPIE. Terms of Use
Back to Top