Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1810006(2022)

Defect Inspection of Lithium Battery Electrode Coating via Bright and Dark Field Scanning Imaging Techniques

Ting Xu1、*, Dahang Wan1, Zhiting Zou2, Yinfei Pan2, and Zongling Pan3
Author Affiliations
  • 1Hefei Mick Photoelectric Technology Co., Ltd., Hefei 230093, Anhui , China
  • 2School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, Anhui , China
  • 3Anhui Institute of Metrology, Hefei 230051, Anhui , China
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    [4] Hu Y H. Research on defect detection of lithium battery electrode sheet based on machine vision[D](2015).

    [6] Yang D J, Lou J N. Review of lithium ion battery and its online testing technologies[J]. Chinese Journal of Power Sources, 42, 1402-1403, 1419(2018).

    [7] Wang L. Defect detecting and classification system of the lithium battery pole piece based on machine vision[D](2020).

    [9] Zhang H Y, Liu A D. Line-scan imaging system based on the linear array TDI-CCD camera[J]. Optics & Optoelectronic Technology, 4, 49-52(2006).

    [10] Lu R S, Wu A, Zhang T D et al. Review on automated optical (visual) inspection and its applications in defect detection[J]. Acta Optica Sinica, 38, 0815002(2018).

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    [12] Li Q, Zeng S G, Zheng S et al. Machine vision based detection method for surface crack of ceramic tile[J]. Laser & Optoelectronics Progress, 57, 081004(2020).

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    Ting Xu, Dahang Wan, Zhiting Zou, Yinfei Pan, Zongling Pan. Defect Inspection of Lithium Battery Electrode Coating via Bright and Dark Field Scanning Imaging Techniques[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1810006

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    Paper Information

    Category: Image Processing

    Received: Jun. 30, 2021

    Accepted: Jul. 23, 2021

    Published Online: Aug. 29, 2022

    The Author Email: Xu Ting (1073572275@qq.com)

    DOI:10.3788/LOP202259.1810006

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