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Proceedings Paper

A fast subpixel edge detection method for image of micro-part
Author(s): Tao Zeng; Gengchen Shi; Bing Zhang; Zhen Wang; Fang Yang
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Paper Abstract

In order to quickly and exactly detect the subpixel image edge of micro-part, a fast subpixel edge detection method based on the property of Gaussian blurred edge model is proposed. Firstly, the approximate positioning of edge point was extracted by double-threshold segmentation; secondly a Zernike moment operator with a mask size of 5×5 was used to get rid of false edge points and relocate the edge with subpixel accuracy. Experiment results show that the subpixel accuracy and the running time of the method are 0.16 pixel and 0.94s. Therefore, the method is suitable for online threedimensional size detection of micro-part.

Paper Details

Date Published: 13 March 2013
PDF: 8 pages
Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 87831H (13 March 2013); doi: 10.1117/12.2014207
Show Author Affiliations
Tao Zeng, Beijing Institute of Technology (China)
Gengchen Shi, Beijing Institute of Technology (China)
Bing Zhang, Beijing Institute of Technology (China)
Zhen Wang, Beijing Institute of Technology (China)
Fang Yang, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 8783:
Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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