Chinese Journal of Lasers, Volume. 51, Issue 13, 1304004(2024)

Optical Surface Defect Stitching Method Based on Sub-Aperture Feature Dataset

Yingru Wang, Hongjun Wang*, Xueliang Zhu, Bingcai Liu, Xin Yue, and Ailing Tian
Author Affiliations
  • Shaanxi Province Key Laboratory of Thin Films Technology and Optical Test, Xi an Technological University, Xi an 710021, Shaanxi , China
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    References(18)

    [2] Wang Y, Liu A Y, Shi W Z et al. Design and simulation of far infrared microscopic imaging optical systems[J]. Laser & Optoelectronics Progress, 59, 1122005(2022).

    [7] Xiang Y C, Lin Y X, Ren Z Y. Study on surface defect detection method of optical element[J]. Optical Instruments, 40, 78-87(2018).

    [10] Li C R. Research on defect detection method for curved optical surface[D](2020).

    [17] Ding Y, Wu J J, Jiang Y et al. Fast image matching algorithm based on improved HU invariant moment[J]. Transducer and Microsystem Technologies, 39, 124-127(2020).

    [18] Su S. Large optical component surface defects detection[D](2017).

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    Yingru Wang, Hongjun Wang, Xueliang Zhu, Bingcai Liu, Xin Yue, Ailing Tian. Optical Surface Defect Stitching Method Based on Sub-Aperture Feature Dataset[J]. Chinese Journal of Lasers, 2024, 51(13): 1304004

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    Paper Information

    Category: Measurement and metrology

    Received: Aug. 30, 2023

    Accepted: Oct. 9, 2023

    Published Online: May. 16, 2024

    The Author Email: Hongjun Wang (whj0253@sina.com)

    DOI:10.3788/CJL231154

    CSTR:32183.14.CJL231154

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