Laser & Optoelectronics Progress, Volume. 61, Issue 22, 2212007(2024)

Small-Target Detection Method for Transmission Lines Based on Motion Blurred Image Restoration

Xunhao Tang1,2 and Shaosheng Fan1,2、*
Author Affiliations
  • 1School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410111, Hunan , China
  • 2Hunan Provincial Key Laboratory of Electric Power Robotics, Changsha 410111, Hunan , China
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    Figures & Tables(18)
    Process framework
    Partial training data of motion blurred restoration. (a) Clear images; (b) partial enlarged images of Fig.2(a); (c) motion blurred images; (d) partial enlarged images of Fig.2(c)
    Structure of GAN
    Network structure of ViT-GAN. (a) Generator; (b) discriminator
    Network structure of MobileViT
    Network structure of MobileViT block
    Network structure of MV2 block
    Network structure of improved YOLOv8
    Structure of C2f before and after improvement. (a) Original C2f module; (b) C2f_MHSA module
    Structure of MHSA mechanism
    Improvement diagram of small object detection layer
    SIoU diagram
    Six types of small targets on transmission lines. (a) Insulator missing; (b) wire breakage; (c) damper; (d) suspension clamp; (e) strain clamp; (f) spacer
    Comparison of motion blurred restoration results of different algorithms
    Comparison of detection results. (a) Original YOLOv8; (b) improved YOLOv8
    • Table 1. Evaluation results of different motion blurred restoration algorithms

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      Table 1. Evaluation results of different motion blurred restoration algorithms

      AlgorithmPSNR /dBSSIMAverage processing time /s
      SRN25.928940.739670.8041
      DeblurGAN26.256810.745020.7319
      DMPHN26.375020.750390.6834
      v2(mobilenet)27.080730.762900.7068
      v2(inception)27.673460.787410.7701
      MPRNet28.157900.798540.7597
      MSRAN28.751340.816590.7842
      Proposed algorithm29.421090.824050.8275
    • Table 2. Evaluation results of six different small target detection

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      Table 2. Evaluation results of six different small target detection

      NetworkSmall targetPrecisionRecallF1-score
      YOLOv8

      Insulator missing

      Suspension clamp

      Strain clamp

      Damper

      90.87

      91.51

      92.83

      89.74

      92.46

      93.04

      91.18

      92.32

      92.79

      91.22

      92.91

      93.73

      Wire breakage90.2891.8091.56
      Spacer90.1692.9494.50
      Average90.8992.2992.78
      Improved YOLOv8Insulator missing93.0493.9193.37
      Suspension clamp92.2495.1392.80
      Strain clamp94.5892.7294.46
      Damper92.6394.2096.50
      Wire breakage92.3393.3595.06
      Spacer91.7895.8697.42
      Average92.7794.1994.94
    • Table 3. Analysis of ablation experiments

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      Table 3. Analysis of ablation experiments

      YOLOv8MHSASmall target detection layerSIoUmAP /%
      87.34
      90.46
      91.08
      91.73
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    Xunhao Tang, Shaosheng Fan. Small-Target Detection Method for Transmission Lines Based on Motion Blurred Image Restoration[J]. Laser & Optoelectronics Progress, 2024, 61(22): 2212007

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Mar. 4, 2024

    Accepted: Apr. 11, 2024

    Published Online: Nov. 19, 2024

    The Author Email: Shaosheng Fan (fss508@163.com)

    DOI:10.3788/LOP240806

    CSTR:32186.14.LOP240806

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