Journal of Applied Optics, Volume. 45, Issue 4, 781(2024)

Defect detection of curved optical lenses based on improved YOLOv5s

Xiaolei LIU and Fenghui LIU*
Author Affiliations
  • School of Physics and Electronic Information, Henan Polytechnic University, Jiaozuo 454003, China
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    References(19)

    [1] Wuyi MING, Haojie JIA, Wenbin HE et al. Detecting surface defects of transparent parts with computer vision. Mechanical Science and Technology for Aerospace Engineering, 40, 116-124(2021).

    [2] Yu CAO, Chuanpeng XU. Application of an improved threshold segmentation algorithm in lens defect detection. Laser and Optoelectronics Progress, 58, 219-224(2021).

    [3] C F CHANG, J L WU, K J CHEN et al. A hybrid defect detection method for compact camera lens. Advances in Mechanical Engineering, 9, 287-313(2017).

    [5] W LIU, D ANGUELOV, D ERHAN et al. Ssd: single shot multibox detector, 21-37(2016).

    [7] Yulong WANG. Research on scratch detection of optical lens surface based on U-Net network(2021).

    [8] Hongzhao ZHU. The research on resin lens defect recognition method based on degenerate YOLO network(2019).

    [9] Caihong WEN. Research on defect detection method for resin lenses based on YOLO(2022).

    [12] A VASWANI, N SHAZEER, N PARMAR et al. Attention is all you need. Advances in Neural Information Processing Systems, 1-11(2017).

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    [16] K HE, G GKIOXARI, P DOLLAR et al. Mask R-CNN, 2961-2969(2017).

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    [18] C Y WANG, A BOCHKOVSKIY, H Y M LIAO. YOLOv7: trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, 7464-7475(2023).

    [19] Xiao HUANG, Long WU, Yao LI et al. Lightweight steel surface defect detection algorithm based on improved YOLOX-s. Journal of Computer Applications, 43, 201-208(2023).

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    Xiaolei LIU, Fenghui LIU. Defect detection of curved optical lenses based on improved YOLOv5s[J]. Journal of Applied Optics, 2024, 45(4): 781

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    Paper Information

    Category: Research Articles

    Received: Aug. 24, 2023

    Accepted: --

    Published Online: Oct. 21, 2024

    The Author Email: LIU Fenghui (刘丰慧)

    DOI:10.5768/JAO202445.0403003

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