• DocumentCode
    1726128
  • Title

    Feature Extraction of the Fabric Defects Image

  • Author

    Jianxia, Wang ; Guang, Zheng ; Hongxia, Ma ; Min, Qin

  • Author_Institution
    Hebei Univ. of Sci. Technol., Shijiazhuang
  • fYear
    2007
  • Abstract
    The feature extraction of the fabric defects image is an important basis in the fabric defect identification. It affects directly the efficiency and accuracy of the fabric defects identification. The feature parameter should have high sensitivity, independency and rapid operation, based on this principle, the feature parameters of fabric defects are extracted, which include the area of fabric defects, the boundary perimeter, the center coordinate, the length of the long and short axes, the shape parameter F and eccentricity E. The experiment proved that the size and shape of fabric defects can be identified and the position can be confirmed based on these feature parameters.
  • Keywords
    fabrics; feature extraction; production engineering computing; boundary perimeter; center coordinate; eccentricity E; fabric defect identification; fabric defects image; feature extraction; feature parameter; shape parameter F; Covariance matrix; Digital images; Educational institutions; Eigenvalues and eigenfunctions; Fabrics; Feature extraction; Information science; Instruments; Pixel; Shape; Fabric defects identification; fabric defects; feature extraction; image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-1136-8
  • Electronic_ISBN
    978-1-4244-1136-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2007.4350781
  • Filename
    4350781