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Centroid localization algorithm based on bicubic interpolation gray square weighted 会议论文
2012 3rd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2012, December 22, 2012 - December 23, 2012, Beihai, China
Zhou J.; Chen X.-L.; Li S.-J.; Huang D.-Y.; Ma G.-Z.
收藏  |  浏览/下载:16/0  |  提交时间:2014/05/15
Centroid localization algorithm based on bicubic interpolation gray square weighted (EI CONFERENCE) 会议论文
2012 3rd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2012, December 22, 2012 - December 23, 2012, Beihai, China
Zhou J.; Chen X.-L.; Li S.-J.; Huang D.-Y.; Ma G.-Z.
收藏  |  浏览/下载:141/0  |  提交时间:2013/03/25
The 3D coordinates of measured point is embodied in 2D image coordinate of the optical characteristic point via the visual measurement system. Based on the gray square weighted centroid localization algorithm  the paper presents bicubic interpolation gray square weighted centroid localization algorithm  increases the number of effective pixels around the optical characteristic point imaging center  and reduces noise error via the gray square weighted  improves the imaging center location accuracy of optical characteristic point  realizes the accurate location of the optical characteristic points. Results indicate application of the proposed algorithm to location  the standard tolerance along the direction of x is 0.0022 Pixel  the standard tolerance along the direction of y is 0.0023 Pixel  compared with the others  the standard tolerance is minimum and discrete to a lesser degree distancing ideal image point  that is  the proposed algorithm has higher location accuracy. The maximum tolerance along the direction of x is 0.008 Pixel  the one along the direction of y is 0.007 Pixel  compared with the other two algorithms  the maximum tolerance is minimum.Results indicate that the stability of the proposed algorithm is better. (2013) Trans Tech Publications  Switzerland.  


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