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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    References(16)

    [6] Li Z J. Research on the measurement and visual evaluation of yarn evenness based on image technology[D]. Wuxi: Jiangnan University(2019).

    [9] Ibrahim S, Militky J, Kremenakova D et al. Characterization of yarn diameter measured on different. [C]//RMUTP international conference: textiles & fashion, July 3-4, 2012, Bangkok, Thailand. [S.l.: s.n.], 1-15(2012).

    [13] Yuan R W, Jiang X M, Zhou G Q et al. Measuring method of yarn diameter and hairiness based on linear array[J]. Journal of Textile Research, 34, 132-137(2013).

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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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