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Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0410008(2021)

Fabric Defect Detection Method Based on Coarseness Measurement and Color Distance

Mengfan Ren, Lei Zhu*, Xiaomin Ma, and Lin Cui
Author Affiliations
  • School of Electronics and Information, Xi'an Polytechnic University, Xi'an, Shaanxi 710048, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (6)
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    References (19)
    Cited By (2)
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    Figures & Tables(6)
    Flow chart of fabric defect detection method based on coarseness measurement and color distance

    Fig. 1. Flow chart of fabric defect detection method based on coarseness measurement and color distance

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    Results of coarseness measurement and classification. (a) Simple texture fabric images; (b) complex texture fabric images

    Fig. 2. Results of coarseness measurement and classification. (a) Simple texture fabric images; (b) complex texture fabric images

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    Defect rough location results of fabric images in Fig.2 using the proposed method. (a) Defect rough location results of simple texture fabric images; (b) defect rough location results of complex texture fabric images

    Fig. 3. Defect rough location results of fabric images in Fig.2 using the proposed method. (a) Defect rough location results of simple texture fabric images; (b) defect rough location results of complex texture fabric images

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    Defect detection results of images in Fig.3 using the proposed method. (a) Defect detection results of simple texture fabric images; (b) defect detection results of complex texture fabric images

    Fig. 4. Defect detection results of images in Fig.3 using the proposed method. (a) Defect detection results of simple texture fabric images; (b) defect detection results of complex texture fabric images

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    Comparison of defect detection results for periodic texture fabric images using different methods. (a) Periodic texture fabric images; (b) detection results by method in Ref. [1]; (c) detection results by method in Ref. [9]; (d) detection results by method in Ref. [12]; (e) detection results by method in Ref. [19]; (f) detection results of the proposed method

    Fig. 5. Comparison of defect detection results for periodic texture fabric images using different methods. (a) Periodic texture fabric images; (b) detection results by method in Ref. [1]; (c) detection results by method in Ref. [9]; (d) detection results by method in Ref. [12]; (e) detection results by method in Ref. [19]; (f) detection results of the proposed method

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    • Table 1. Comparison of detection performance using different methods

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      Table 1. Comparison of detection performance using different methods

      MethodTPR /%FPR /%ACC /%tAV /s
      Method in Ref. [1]89.0018.0086.670.47
      Method in Ref. [9]81.0044.0072.670.15
      Method in Ref. [12]83.0026.0080.003.53
      Method in Ref. [19]86.0022.0083.3323.78
      Proposed method93.006.0093.332.38
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    Mengfan Ren, Lei Zhu, Xiaomin Ma, Lin Cui. Fabric Defect Detection Method Based on Coarseness Measurement and Color Distance[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410008

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    Paper Information

    Category: Image Processing

    Received: Jun. 16, 2020

    Accepted: Aug. 6, 2020

    Published Online: Feb. 8, 2021

    The Author Email: Zhu Lei (zhulei791014@163.com)

    DOI:10.3788/LOP202158.0410008

    Topics

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