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Proceedings Paper

Corner detection and sorting method based on improved Harris algorithm in camera calibration
Author(s): Ying Xiao; Yonghong Wang; Xizuo Dan; Anqi Huang; Yue Hu; Lianxiang Yang
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Paper Abstract

In traditional Harris corner detection algorithm, the appropriate threshold which is used to eliminate false corners is selected manually. In order to detect corners automatically, an improved algorithm which combines Harris and circular boundary theory of corners is proposed in this paper. After detecting accurate corner coordinates by using Harris algorithm and Forstner algorithm, false corners within chessboard pattern of the calibration plate can be eliminated automatically by using circular boundary theory. Moreover, a corner sorting method based on an improved calibration plate is proposed to eliminate false background corners and sort remaining corners in order. Experiment results show that the proposed algorithms can eliminate all false corners and sort remaining corners correctly and automatically.

Paper Details

Date Published: 24 November 2016
PDF: 8 pages
Proc. SPIE 10023, Optical Metrology and Inspection for Industrial Applications IV, 100231O (24 November 2016); doi: 10.1117/12.2245973
Show Author Affiliations
Ying Xiao, Hefei Univ. of Technology (China)
Yonghong Wang, Hefei Univ. of Technology (China)
Xizuo Dan, Hefei Univ. of Technology (China)
Anqi Huang, Hefei Univ. of Technology (China)
Yue Hu, Hefei Univ. of Technology (China)
Lianxiang Yang, Hefei Univ. of Technology (China)
Oakland Univ. (United States)

Published in SPIE Proceedings Vol. 10023:
Optical Metrology and Inspection for Industrial Applications IV
Sen Han; Toru Yoshizawa; Song Zhang, Editor(s)

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