An algorithm for subpixel edge location of circular features based on Zernike moments and moment-preserving

Qingbin Tong; Xiaodong Zhang; Zhenliang Ding; Feng Yuan

doi:10.1117/12.866667

19 August 2010 An algorithm for subpixel edge location of circular features based on Zernike moments and moment-preserving

Qingbin Tong, Xiaodong Zhang, Zhenliang Ding, Feng Yuan

Author Affiliations +

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78201I (2010) https://doi.org/10.1117/12.866667
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

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.

Citation Download Citation

Qingbin Tong, Xiaodong Zhang, Zhenliang Ding, and Feng Yuan "An algorithm for subpixel edge location of circular features based on Zernike moments and moment-preserving", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78201I (19 August 2010); https://doi.org/10.1117/12.866667

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