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Laser & Optoelectronics Progress, Volume. 59, Issue 22, 2215008(2022)

Defect Detection of Optical Fiber Coil Based on Improved Low-Rank Representation Model

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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    AbstractGet PDF(in Chinese)
    Figures&Tables (9)
    Equations (19)
    References (31)
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    Figures & Tables(9)
    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

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    Flowchart of defect detection based on the improved LRR model

    Fig. 2. Flowchart of defect detection based on the improved LRR model

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    Flowchart of algorithm 1

    Fig. 3. Flowchart of algorithm 1

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    Flowchart of algorithm 2

    Fig. 4. Flowchart of algorithm 2

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    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

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    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

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    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

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    • Table 1. Statistics of experimental results of the proposed method

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      Table 1. Statistics of experimental results of the proposed method

      DefectPrReSpAcFARMAR
      Stack97.410097.82.70
      Gap98.398.797.21.71.3
      Normal95.798.14.30

    • Table 2. Performance comparison between different algorithms

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      Table 2. Performance comparison between different algorithms

      AlgorithmFiber-stackFiber-gap
      PrFARMARPrFARMAR
      Algorithm in Ref.［14］71.336.728.773.76.426.2
      Algorithm in Ref.［15］81.77.118.385.32.114.7
      LBP+SVM90.74.69.391.75.98.3
      Proposed algorithm97.42.7098.31.71.3
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    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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    Paper Information

    Category: Machine Vision

    Received: Sep. 2, 2021

    Accepted: Oct. 13, 2021

    Published Online: Oct. 26, 2022

    The Author Email: Ruifeng Yang (yangruifeng@nuc.edu.cn)

    DOI:10.3788/LOP202259.2215008

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology