Journal of Applied Optics, Volume. 44, Issue 3, 605(2023)

Defect detection of solar cells based on multi-feature fusion

Tianshu LAI1...2,3, Huaiguang LIU1,2,3,*, Bo TANG1,2,3, and Shiyang ZHOU1,23 |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Metallurgical Equipment and Control Technology (Ministry of Education), Wuhan University of Science and Technology, Wuhan 430081, China
  • 2Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
  • 3Precision Manufacturing Institute, Wuhan University of Science and Technology, Wuhan 430081, China
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    References(3)

    [4] [4] SPATARU S, HACKE P, SERA D. Automatic detection and evaluation of solar cell micro-cracks in electroluminescence images using matched filters[C]//2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC). Portland: IEEE, 2016: 1602-1607.

    [5] [5] BASTARI A, BRUNI A, CRISTALLI C. Classification of silicon solar cells using electroluminescence texture analysis[C]//2010 IEEE International Symposium on Industrial Electronics. Bari: IEEE, 2010: 1722-1727.

    [9] [9] LI Qinglei. Study on the segmentation technology of the solar cell surface defect based on vision[D]. Qingdao: Shandong University of Science and Technology, 2018.

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    Tianshu LAI, Huaiguang LIU, Bo TANG, Shiyang ZHOU. Defect detection of solar cells based on multi-feature fusion[J]. Journal of Applied Optics, 2023, 44(3): 605

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    Paper Information

    Category: Research Articles

    Received: Jul. 11, 2022

    Accepted: --

    Published Online: Jun. 19, 2023

    The Author Email: LIU Huaiguang (lhg81219@163.com)

    DOI:10.5768/JAO202344.0303005

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