Laser & Optoelectronics Progress, Volume. 62, Issue 12, 1215008(2025)

Efficient Printed Circuit Board Defect Segmentation Technology Based on YOLO Prompts and ICT-ViT

Tieqiang Sun1... Hongjian Yu1,*, Can Zhang1, Yidong Yuan1 and Aoran Sun2 |Show fewer author(s)
Author Affiliations
  • 1College of Artificial Intelligence, North China University of Science and Technology, Tangshan 063210, Hebei , China
  • 2School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu , China
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    References(19)

    [1] Zhang Y, Deng H X, Wang Y N et al. Small defects detection of PCB based on multi-channel feature fusion learning[J]. Chinese Journal of Scientific Instrument, 45, 10-19(2024).

    [5] Chang Q Y, Liu B, Li K et al. Material particle image segmentation algorithm based on FastSAM[J]. Henan Science, 42, 1415-1421(2024).

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    Tieqiang Sun, Hongjian Yu, Can Zhang, Yidong Yuan, Aoran Sun. Efficient Printed Circuit Board Defect Segmentation Technology Based on YOLO Prompts and ICT-ViT[J]. Laser & Optoelectronics Progress, 2025, 62(12): 1215008

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    Paper Information

    Category: Machine Vision

    Received: Nov. 27, 2024

    Accepted: Jan. 2, 2025

    Published Online: Jun. 12, 2025

    The Author Email: Hongjian Yu (yhjadd@163.com)

    DOI:10.3788/LOP242339

    CSTR:32186.14.LOP242339

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