JOURNAL OF TEXTILE RESEARCH ›› 2012, Vol. 33 ›› Issue (8): 50-54.

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Woven fabric linear defect research based on AR model

 ZHU  Jun-Ling1, WANG  Jun1,2, ZHANG  Xiao-Nan3, LI  Li-Qing1, CHEN  Xia1, PANG  Ming-Jun3   

    1. College of Textiles, Donghua University
    2. Key Laboratory of Textile Science & Technology, Ministry of Education, Donghua University
    3. Jiangnan Branch, China Textile Academy
  • Received:2011-09-28 Revised:2012-02-29 Online:2012-08-15 Published:2012-08-08
  • Contact: WANG Jun E-mail:junwang@dhu.edu.cn

Abstract: As detect the effect of woven fabric linear defects is poor, in this paper, the spectral estimation method of AR model was used to research that problem. Firstly, split fabric image obtained into certain size according to child windows. And also from both the vertical and horizontal directions, turn gray value of the child windows into variance sequence by the way of using the variance projection. Secondly, choose the appropriate AR model order and use Burg algorithm to estimate spectral data. Lastly, according to the correlation coefficient with the spectral estimation between a defect image and a normal one, defect and its location will be detected. The effectiveness of the method of the linear defects detection on woven fabric is proved by experiment.

Key words: AR model , Burg algorithm , woven fabric , defect detection , linear defect

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