• DocumentCode
    1955411
  • Title

    Research on a New Fabric Defect Identification Method

  • Author

    Zhao, D.X. ; Wang, H. ; Zhu, J.L. ; Li, J.L.

  • Author_Institution
    Sch. of Mech. Eng., Hubei Univ. of Technol., Wuhan
  • Volume
    2
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    814
  • Lastpage
    817
  • Abstract
    A new method of recognition the fabric defects features is proposed for alleviating the difficulties of extracting to complicated fabric defects features. First, fast Fourier transform and self-adaptive power spectrum decomposition are performed. Sector-regional energy of spectrum is extracted and its mean and standard deviations is calculated as fabric features. Then, the spectral energy distribution was objected to direction Y, and local peak was extracted as defects recognition features after objection. Fabric defects recognition using the proposed method shows a high performance in the on-line detection.
  • Keywords
    fabrics; fast Fourier transforms; feature extraction; image recognition; production engineering computing; statistical analysis; textile industry; fabric defect identification; fabric defect recognition; fast Fourier transform; feature extraction; mean deviation; online detection; sector-regional spectrum energy; self-adaptive power spectrum decomposition; spectral energy distribution; standard deviation; Application software; Character recognition; Computer vision; Fabrics; Feature extraction; Frequency domain analysis; Space technology; Statistical analysis; Statistics; Textile technology; fabric defects; feature description; frequency domain characteristics; on-line detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.395
  • Filename
    4722173