An improved corner detection algorithm for image sequence

Minqi Yan; Bianlian Zhang; Min Guo; Guangyuan Tian; Feng Liu; Zeng Huo

doi:10.1117/12.2071559

Translator Disclaimer

24 November 2014 An improved corner detection algorithm for image sequence

Minqi Yan; Bianlian Zhang; Min Guo; Guangyuan Tian; Feng Liu; Zeng Huo

Author Affiliations +

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93011C (2014) https://doi.org/10.1117/12.2071559
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

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.

Citation Download Citation

Minqi Yan, Bianlian Zhang, Min Guo, Guangyuan Tian, Feng Liu, and Zeng Huo "An improved corner detection algorithm for image sequence", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93011C (24 November 2014); https://doi.org/10.1117/12.2071559

ACCESS THE FULL ARTICLE