• Laser & Optoelectronics Progress
  • Vol. 59, Issue 22, 2215008 (2022)
Xiaole Chen1, Ruifeng Yang1,2,*, and Chenxia Guo1,2
Author Affiliations
  • 1School of Instrument and Electronics, North University of China, Taiyuan 030051, Shanxi, China
  • 2Automated Test Equipment and System Engineering Technology Research Center of Shanxi Province, Taiyuan 030051, Shanxi, China
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    DOI: 10.3788/LOP202259.2215008 Cite this Article Set citation alerts
    Xiaole Chen, Ruifeng Yang, Chenxia Guo. Defect Detection of Optical Fiber Coil Based on Improved Low-Rank Representation Model[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2215008 Copy Citation Text show less
    Optical fiber coil images. (a) Defect-free image; (b) image with stack defect; (c) image with gap defect
    Fig. 1. Optical fiber coil images. (a) Defect-free image; (b) image with stack defect; (c) image with gap defect
    Flowchart of defect detection based on the improved LRR model
    Fig. 2. Flowchart of defect detection based on the improved LRR model
    Flowchart of algorithm 1
    Fig. 3. Flowchart of algorithm 1
    Flowchart of algorithm 2
    Fig. 4. Flowchart of algorithm 2
    Influence of regularization constraint on the model. (a) Original image; (b) result of original LRR model; (c) result of regularized constrained model
    Fig. 5. Influence of regularization constraint on the model. (a) Original image; (b) result of original LRR model; (c) result of regularized constrained model
    Original images of the stack defect and their detection results. (a) Original images; (b) proposed method; (c) method in Ref. [14]; (d) method in Ref. [15]; (e) LBP+SVM
    Fig. 6. Original images of the stack defect and their detection results. (a) Original images; (b) proposed method; (c) method in Ref. [14]; (d) method in Ref. [15]; (e) LBP+SVM
    Original images of the gap defect and their detection results. (a) Original images; (b) proposed method; (c) method in Ref. [14]; (d) method in Ref. [15]; (e) LBP+SVM
    Fig. 7. Original images of the gap defect and their detection results. (a) Original images; (b) proposed method; (c) method in Ref. [14]; (d) method in Ref. [15]; (e) LBP+SVM
    DefectPrReSpAcFARMAR
    Stack97.410097.82.70
    Gap98.398.797.21.71.3
    Normal95.798.14.30
    Table 1. Statistics of experimental results of the proposed method
    AlgorithmFiber-stackFiber-gap
    PrFARMARPrFARMAR
    Algorithm in Ref.[1471.336.728.773.76.426.2
    Algorithm in Ref.[1581.77.118.385.32.114.7
    LBP+SVM90.74.69.391.75.98.3
    Proposed algorithm97.42.7098.31.71.3
    Table 2. Performance comparison between different algorithms
    Xiaole Chen, Ruifeng Yang, Chenxia Guo. Defect Detection of Optical Fiber Coil Based on Improved Low-Rank Representation Model[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2215008
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