Harris Corner Detection Algorithm at Sub-pixel Level and Its Application

DOI

10.2991/iccse-15.2015.23How to use a DOI?

Keywords

Harris corner, Sub-pixel, Gaussian surface, Image matching

Abstract

The corner is one of the most important features of image and the corner detection plays an important role in digital image processing technology. The performance of Harris corner detection algorithm is stable and it is widely applied, but the corner location is pixel level which affects the subsequent image processing. In order to improve the performance of corner detection, the harris algorithm is improved. On the basis of analyzing the principle of Harris corner detection algorithm, the sub-pixel level corner position based on the Gauss surface method is extracted. The extracted corners is applied in images matching. The experimental results show that the Harris corner detection algorithm can extract high accurate corners. At the same time, the image matching based on this algorithm has higher precision.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuanfeng Han
AU  - Peijiang Chen
AU  - Tian Meng
PY  - 2015/07
DA  - 2015/07
TI  - Harris Corner Detection Algorithm at Sub-pixel Level and Its Application
BT  - Proceedings of the 2015 International Conference on Computational Science and Engineering
PB  - Atlantis Press
SP  - 133
EP  - 137
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-15.2015.23
DO  - 10.2991/iccse-15.2015.23
ID  - Han2015/07
ER  -