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Proceedings Paper

An algorithm for subpixel edge location of circular features based on Zernike moments and moment-preserving
Author(s): Qingbin Tong; Xiaodong Zhang; Zhenliang Ding; Feng Yuan
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Paper Abstract

In order to satisfy the stringent requirements for the high accurate detection of circular feature in such applications as the vision measurement of electronic components and camera calibration, based on the principle of orthogonal Zernike moments and simple moment-preserving transform, a subpiexl edge detection algorithm for the curve of circular feasures is proposed. A circular-arc geometry is assumed for the boundary inside the detection area of template. The new arc-edge detector is designed as a cascade process using Zernike linear-edge detector and simple moment-preserving transform and a look-up table. The validity and detecting precision for the algorithm are studied. The experimental results show that the algorithm is very accurate and stable, and the measuring accuracy is better than 0.03 pixel. The proposed method is very effective in detecting circular features and as well ellipse curve for vision measurements.

Paper Details

Date Published: 19 August 2010
PDF: 8 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78201I (19 August 2010); doi: 10.1117/12.866667
Show Author Affiliations
Qingbin Tong, Beijing Jiaotong Univ. (China)
Xiaodong Zhang, Beijing Jiaotong Univ. (China)
Zhenliang Ding, Harbin Institute of Technology (China)
Feng Yuan, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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