• Optics and Precision Engineering
  • Vol. 31, Issue 2, 277 (2023)
Yanan GU, Ruyi CAO, Lishan ZHAO, Bibo LU, and Baishun SU*
Author Affiliations
  • College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo454003, China
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    DOI: 10.37188/OPE.20233102.0277 Cite this Article
    Yanan GU, Ruyi CAO, Lishan ZHAO, Bibo LU, Baishun SU. Real time semantic segmentation network of wire harness terminals based on multiple receptive field attention[J]. Optics and Precision Engineering, 2023, 31(2): 277 Copy Citation Text show less
    UNet network
    Fig. 1. UNet network
    Residual structure
    Fig. 2. Residual structure
    MRF-UNet network structure
    Fig. 3. MRF-UNet network structure
    Multiple receptive field attention module
    Fig. 4. Multiple receptive field attention module
    Micrograph of harness terminal
    Fig. 5. Micrograph of harness terminal
    Comparison diagram of segmentation results
    Fig. 6. Comparison diagram of segmentation results
    Contour detection comparison diagram
    Fig. 7. Contour detection comparison diagram
    Comparison diagram of geometric measurement results
    Fig. 8. Comparison diagram of geometric measurement results
    MethodKMIoU/%MPA/%Dice/%FPS/frame
    UNet96.9498.5197.875
    STDC96.7798.5397.7220
    MRF-UNet3297.2298.7098.0815
    1697.5498.8398.3115
    897.3098.6998.1415
    496.8898.5797.8115
    296.9598.6297.8614
    Table 1. Module performance index comparison
    NetMemory/MBFLOPs/GFPS/frame
    UNet2 673.63282.075
    SegNet1 580.27282.507
    BiSeNet1 638.5677.1612
    MRF-UNet1 397.4831.4715
    Table 2. Comparison of network performance indicators
    NetMIoUMPADice
    UNet96.9498.5197.87
    SegNet96.7198.5297.68
    BiSeNet94.9198.0096.24
    MRF-UNet97.5498.8398.31
    Table 3. Comparison of network segmentation effects
    Yanan GU, Ruyi CAO, Lishan ZHAO, Bibo LU, Baishun SU. Real time semantic segmentation network of wire harness terminals based on multiple receptive field attention[J]. Optics and Precision Engineering, 2023, 31(2): 277
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