Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0410014(2021)

Yarn Defects Detection Algorithm Combined with Spatial Fuzzy C-Means Clustering

Yan Zhao*, Huanhuan Zhang, Junfeng Jing, and Pengfei Li
Author Affiliations
  • School of Electronics and Information, Xi'an Polytechnic University, Xi'an, Shaanxi 710048, China
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    Figures & Tables(11)
    Types of the yarn defects
    Examples of the yarn defects
    Flow chart of our algorithm for detecting yarn defects
    Processing results obtained with different parameters. (a) p=1, q=0; (b) p=1, q=1; (c) p=0, q=2
    Process of yarn image processing. (a) Original yarn; (b) processing result of clustering algorithm
    Processing result of the morphological open operation
    Flow chart of the yarn defects detection
    Yarn defects detected by our algorithm
    • Table 1. Average diameter and theoretical diameter of the yarn

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      Table 1. Average diameter and theoretical diameter of the yarn

      Lineardensity /texTheoreticaldiameter /mmDetection of averagediameter /mm
      28.70.1980.212
      18.20.1600.172
      14.50.1440.154
    • Table 2. Yarn defects detection results of different spatial parameters and visual inspection methods

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      Table 2. Yarn defects detection results of different spatial parameters and visual inspection methods

      Linear density /texParameterNepThick placeThin place
      14.5p=1,q=023255
      p=1,q=121244
      p=0,q=224272
      visual inspection23262
      18.2p=1,q=023235
      p=1,q=120244
      p=0,q=223253
      visual inspection23243
      28.7p=1,q=0212510
      p=1,q=1202511
      p=0,q=221278
      visual inspection20266
    • Table 3. Results of yarn defects detected by different algorithms

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      Table 3. Results of yarn defects detected by different algorithms

      Linear density /texAlgorithmNepThick placeThin place
      14.5ours24272
      capacitive method23282
      18.2ours23253
      capacitive method21262
      28.7ours21278
      capacitive method22279
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    Yan Zhao, Huanhuan Zhang, Junfeng Jing, Pengfei Li. Yarn Defects Detection Algorithm Combined with Spatial Fuzzy C-Means Clustering[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410014

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    Paper Information

    Category: Image Processing

    Received: Jun. 30, 2020

    Accepted: Aug. 7, 2020

    Published Online: Feb. 26, 2021

    The Author Email: Yan Zhao (2210650907@qq.com)

    DOI:10.3788/LOP202158.0410014

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