Volume 43 Issue 6
Aug.  2014
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Wu Ling, Li Jiabin, Chen Niannian, Xiong Zhao, Liu Changchun, Fan Yong. Centroid detection of laser spots in large plane optical components topography measurement system[J]. Infrared and Laser Engineering, 2014, 43(6): 1704-1709.
Citation: Wu Ling, Li Jiabin, Chen Niannian, Xiong Zhao, Liu Changchun, Fan Yong. Centroid detection of laser spots in large plane optical components topography measurement system[J]. Infrared and Laser Engineering, 2014, 43(6): 1704-1709.

Centroid detection of laser spots in large plane optical components topography measurement system

  • Received Date: 2013-10-10
  • Rev Recd Date: 2013-11-03
  • Publish Date: 2014-06-25
  • One of the core issues of the large plane optical components topography measurement system is calculating the centroid coordinates of laser spots quickly and accurately, which determines the accuracy and repeatability of the measurement. According to visual perception, a 1D detection window with radius as r was defined, to find the local maximum energy in the field with a convolution template depending to center distance. Then traditional centroid method was used to calculate the subpixel centroid. Finally, 3 rule of error processing was applied. The experimental results show that the detection accuracy of proposed algorithm is 0.1 pixel, and the index was improved about 1 time than existing threshold weighted centroid method. The similarity and PV of topography is closer to interferometer than threshold weighted measurment. It has been successfully applied in actual projects.
  • [1] Chen Niannian, Fan Yong, Zhang Junnan, et al. Study on laser spot segmentation and classification of optical component topography measurement system[J]. Computer Measurement Control, 2010, 18(6): 1266-1268. (in Chinese)
    [2]
    [3]
    [4] Zhang Jinping, Zhang Zhongyu, Zhang Xuejun, et al. Algorithm for extending dynamic range of shack-hartmann wavefront sensor[J]. Acta Optica Sinic, 2011, 31 (8): 140-144. (in Chinses)
    [5]
    [6] Xia Aili, Ma Caiwen. Method for improving wavefront detection accuracy based on high moment[J]. Infrared and Laser Engineering, 2012, 41(2): 472-477. (in Chinese)
    [7] Jing Wenbo, Duan Jin, Wang Xiaoman, et al. Comparison of Shack-Hart-mann array spot centroid detection errors[J]. Journal of Jilin University(Sci Ed), 2010, 48(6): 1013-1017. (in Chinese)
    [8]
    [9]
    [10] Liu Zhaorong, Wang Zhiqian, Liu Shaojin, et al. Research of precise laser spot center location algorithm[J]. Computer Simulation, 2011, 28(5): 399-401. (in Chinese)
    [11]
    [12] Zhang Xiufeng, Du Haiying. Study on the center fitting method for non-diffraction laser circular images[J]. Optoelectronic Technology, 2011, 31(9): 149-152. (in Chinese)
    [13] Mu Yining, Liu Quan, Yu Lintao, et al. Application of Hartmann technique in sequence spot detection[J]. Optics and Precision Engineering, 2011, 19(9): 2197-2204. (in Chinese)
    [14]
    [15] Li Huaqiang, Song Helun, Rao Changhui, et al. Accuracy analysis of centroid calculated by a modified center detection algorithm for Shack-Hartmann wavefront sensor[J]. Optics Communications, 2008(281): 750-755.
    [16]
    [17] Xiao Fenggang, Liu Jianguo, Zeng Congyong, et al. New denosing method for improving speckle image centroid accuracy[J]. Application Research of Computers, 2008, 25(12): 3683-3684, 3687. (in Chinese)
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Centroid detection of laser spots in large plane optical components topography measurement system

  • 1. Department of Computer Science and Technology,SWUST,Mianyang 621010,China;
  • 2. Research Center of Laser Fusion,CAEP,Mianyang 621900,China

Abstract: One of the core issues of the large plane optical components topography measurement system is calculating the centroid coordinates of laser spots quickly and accurately, which determines the accuracy and repeatability of the measurement. According to visual perception, a 1D detection window with radius as r was defined, to find the local maximum energy in the field with a convolution template depending to center distance. Then traditional centroid method was used to calculate the subpixel centroid. Finally, 3 rule of error processing was applied. The experimental results show that the detection accuracy of proposed algorithm is 0.1 pixel, and the index was improved about 1 time than existing threshold weighted centroid method. The similarity and PV of topography is closer to interferometer than threshold weighted measurment. It has been successfully applied in actual projects.

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