A fast subpixel edge detection method for image of micro-part

Tao Zeng; Gengchen Shi; Bing Zhang; Zhen Wang; Fang Yang

doi:10.1117/12.2014207

13 March 2013 A fast subpixel edge detection method for image of micro-part

Tao Zeng, Gengchen Shi, Bing Zhang, Zhen Wang, Fang Yang

Proceedings Volume 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing; 87831H (2013) https://doi.org/10.1117/12.2014207
Event: Fifth International Conference on Machine Vision (ICMV 12), 2012, Wuhan, China

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.

Citation Download Citation

Tao Zeng, Gengchen Shi, Bing Zhang, Zhen Wang, and Fang Yang "A fast subpixel edge detection method for image of micro-part", Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 87831H (13 March 2013); https://doi.org/10.1117/12.2014207

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