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长春光学精密机械与物... [4]
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会议论文 [4]
发表日期
2013 [4]
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发表日期:2013
内容类型:会议论文
专题:长春光学精密机械与物理研究所
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A novel Design measuring Method based on linearly polarized laser interference
会议论文
5th International Symposium on Photoelectronic Detection and Imaging, ISPDI 2013, June 25, 2013 - June 27, 2013, Beijing, China, June 25, 2013 - June 27, 2013
Cao Y.
;
Ai H.
;
Zhao N.
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浏览/下载:8/0
  |  
提交时间:2014/05/15
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.
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  |  
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.
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  |  
浏览/下载:142/0
  |  
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.
LIDAR based terrain slope detection on fractal based lunar surface modeling
会议论文
2013 4th International Conference on Intelligent Control and Information Processing, ICICIP 2013, June 9, 2013 - June 11, 2013, Beijing, China
Jiang X.
;
Sun X.
;
Han C.
;
Li X.
;
Zhao Y.
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浏览/下载:21/0
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提交时间:2014/05/15
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