Laser & Optoelectronics Progress, Volume. 62, Issue 17, 1739022(2025)

MGT-Fusion: PCBA Defect Detection Method Based on Texture and Depth Information Fusion (Invited)

Zefang Chen1, Mingyuan Zhong1, Hailong Jing2, Guodong Liu3, Qican Zhang1、*, and Junfei Shen1、**
Author Affiliations
  • 1College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, Sichuan , China
  • 2Sichuan ViSensing Technology Co., Ltd., Chengdu 610065, Sichuan , China
  • 3United Electronics Co., Ltd., Jiangxi, Nanchang 330000, Jiangxi , China
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    References(37)

    [2] Yang S N, Cao L J, Yang Y et al. Review of PCB defect detection algorithm based on machine vision[J]. Journal of Frontiers of Computer Science and Technology, 19, 901-915(2025).

    [8] Cai N, Zhou Y, Ye Q et al. IC solder joint inspection via robust principle component analysis[J]. IEEE Transactions on Components, Packaging and Manufacturing Technology, 7, 300-309(2017).

    [10] Peng H, Zhou B W, Ouyang W Q et al. Research on defect detection of lightweight PCB based on dual channel attention[J]. Journal of Optoelectronics·Laser, 35, 506-515(2024).

    [11] Chen J N, Bai X H, Li Y H et al. PCB defect detection based on PA-YOLO v5[J]. Infrared Technology, 46, 654-662(2024).

    [25] Yang H H, Wan X R, Zhou W H et al. Infrared image super-resolution method based on CNN-Transformer fusion network[J]. Modern Electronics Technique, 48, 42-50(2025).

    [29] Tolstikhin I O, Houlsby N, Kolesnikov A et al. MLP- mixer: an all-MLP architecture for vision[J]. Advances in Neural Information Processing Systems, 34, 24261-24272(2021).

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    Zefang Chen, Mingyuan Zhong, Hailong Jing, Guodong Liu, Qican Zhang, Junfei Shen. MGT-Fusion: PCBA Defect Detection Method Based on Texture and Depth Information Fusion (Invited)[J]. Laser & Optoelectronics Progress, 2025, 62(17): 1739022

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    Paper Information

    Category: AI for Optics

    Received: May. 4, 2025

    Accepted: Jun. 30, 2025

    Published Online: Sep. 8, 2025

    The Author Email: Qican Zhang (zqc@scu.edu.cn), Junfei Shen (shenjunfei@scu.edu.cn)

    DOI:10.3788/LOP251144

    CSTR:32186.14.LOP251144

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