@inproceedings{74e70162ae8d4c4181b06f2b5ffa487c,
title = "A fast subpixel edge detection method for image of micro-part",
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.",
keywords = "Double-threshod segmentation, Micro-gear image, Subpixel edge, Zernike moment operator",
author = "Tao Zeng and Gengchen Shi and Bing Zhang and Zhen Wang and Fang Yang",
year = "2013",
doi = "10.1117/12.2014207",
language = "English",
isbn = "9780819495877",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Fifth International Conference on Machine Vision, ICMV 2012",
note = "5th International Conference on Machine Vision: Computer Vision, Image Analysis and Processing, ICMV 2012 ; Conference date: 20-10-2012 Through 21-10-2012",
}