Journal of Optoelectronics · Laser, Volume. 34, Issue 7, 743(2023)

Surface defect detection method of strip steel based on lightweight YOLOv3

MA Qianwen1 and LIU Guohua1,2、*
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(12)

    [1] [1] FANG X,LUO Q,ZHOU B,et al.Research progress of automated visual surface defect detection for industrial metal planar materials[J].Sensors,2020,20(18):5136.

    [2] [2] HU W,WANG T,WANG Y et al.LE-MSFE-DDNet:a defect detection network based on low-light enhancement and multi-scale feature extraction[J].The Visual Computer,2022,38:3731-3745.

    [4] [4] AGHDAM S R,AMID E,IMANI M F.A fast method of steel surface defect detection using decision trees applied to LBP based features[C]//2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA),July 18-20,2012,Singapore.New York:IEEE,2012:1447-1452.

    [6] [6] BHATT P M,MALHAN R K,RAJENDRAN P,et al.Image-based surface defect detection using deep learning:A review[J].Journal of Computing and Information Science in Engineering,2021,21(4):1-23.

    [9] [9] SANDLER M,HOWARD A,ZHU M,et al.Mobilenetv2:Inverted residuals and linear bottlenecks[C]//IEEE Conference on Computer Vision and Pattern Recognition,June 18-23,2018,Salt Lake City,UT,USA.New York:IEEE,2018:4510-4520.

    [10] [10] TAN M,PANG R,LE Q V.Efficientdet:Scalable and efficient object detection[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition,June 13-19,2020,Seattle,WA,USA.New York: IEEE,2020:10781-10790.

    [11] [11] WOO S,PARK J,LEE J Y,et al.CBAM:Convolutional block attention module[C]//European Conference on Computer Vision (ECCV),September 8-14,2018,Munich,Germany.Berlin:Springer,2018:3-19.

    [12] [12] REDMON J,FARHADI A.Yolov3:An incremental improvement[EB/OL].(2018-04-08) [2022-06-16].https://arxiv.org/abs/1804.02767.

    [13] [13] HE K,ZHANG X,REN S,et al.Deep residual learning for image recognition[C]//IEEE Conference on Computer Vision and Pattern Recognition,June 27-30,2016,Las Vegas,NV,USA.New York:IEEE,2016:770-778.

    [14] [14] HOWARD A G,ZHU M,CHEN B,et al.Mobilenets:Efficient convolutional neural networks for mobile vision applications[EB/OL].(2017-04-17) [2022-06-16].https://arxiv.org/abs/1704.04861.

    [15] [15] SHAO M,ZHANG W,LI Y,et al.Enhanced feature pyramidal network for object detection[J].Journal of Electronic Imaging,2022,31(1):013030.

    [16] [16] HE K,ZHANG X,REN S,et al.Spatial pyramid pooling in deep convolutional networks for visual recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2015,37(9):1904-1916.

    Tools

    Get Citation

    Copy Citation Text

    MA Qianwen, LIU Guohua. Surface defect detection method of strip steel based on lightweight YOLOv3[J]. Journal of Optoelectronics · Laser, 2023, 34(7): 743

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: Jun. 16, 2022

    Accepted: --

    Published Online: Sep. 25, 2024

    The Author Email: LIU Guohua (liuguohua@tiangong.edu.cn)

    DOI:10.16136/j.joel.2023.07.0442

    Topics