• Chinese Journal of Lasers
  • Vol. 48, Issue 22, 2202011 (2021)
Guowei Yang, Nan Zhou, Min Yang, Yongshuai Zhang, and Yizhong Wang*
Author Affiliations
  • College of Electronic Information and Automation, Tianjin University of Science & Technology, Tianjin 300222, China
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    DOI: 10.3788/CJL202148.2202011 Cite this Article Set citation alerts
    Guowei Yang, Nan Zhou, Min Yang, Yongshuai Zhang, Yizhong Wang. Automatic Weld Tracking Based on Convolution Neural Network and Correlation Filter[J]. Chinese Journal of Lasers, 2021, 48(22): 2202011 Copy Citation Text show less
    Network structure diagram of weld feature point extraction
    Fig. 1. Network structure diagram of weld feature point extraction
    Schematics of prior box generation process. (a) Weld image; (b) feature map in network
    Fig. 2. Schematics of prior box generation process. (a) Weld image; (b) feature map in network
    Schematics of marking weld feature points. (a) Weld image; (b) marking graph
    Fig. 3. Schematics of marking weld feature points. (a) Weld image; (b) marking graph
    Extracted weld feature points under different noise interference conditions
    Fig. 4. Extracted weld feature points under different noise interference conditions
    Extracted feature points of weld with different grooves
    Fig. 5. Extracted feature points of weld with different grooves
    Tracking results of weld feature points under different levels of noise
    Fig. 6. Tracking results of weld feature points under different levels of noise
    Enlarged display of weld feature point tracking results under different levels of noise
    Fig. 7. Enlarged display of weld feature point tracking results under different levels of noise
    Feature points tracking of weld with different groove types
    Fig. 8. Feature points tracking of weld with different groove types
    Enlarged display of feature points tracking of weld with different groove types
    Fig. 9. Enlarged display of feature points tracking of weld with different groove types
    Weld feature points tracking error graph
    Fig. 10. Weld feature points tracking error graph
    Error analysis diagram
    Fig. 11. Error analysis diagram
    LayerKernel(width×height×number)StrideReceptive field size
    Conv 111×11×32111×11
    Pool 14×4414×14
    Conv 27×7×64138×38
    Pool 22×2242×42
    Conv 35×5×128174×74
    Pool 32×2282×82
    Conv 43×3×2561114×114
    Pool 42×22130×130
    Table 1. Convolution kernel parameters
    Guowei Yang, Nan Zhou, Min Yang, Yongshuai Zhang, Yizhong Wang. Automatic Weld Tracking Based on Convolution Neural Network and Correlation Filter[J]. Chinese Journal of Lasers, 2021, 48(22): 2202011
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