• DocumentCode
    3700245
  • Title

    Texture feature extraction of steel strip surface defect based on gray level co-occurrence matrix

  • Author

    Ying-Jun Guo;Zi-Jun Sun;He-Xu Sun;Xue-Ling Song

  • Author_Institution
    School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050054, China
  • Volume
    1
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    217
  • Lastpage
    221
  • Abstract
    To extract the texture features of forehead wrinkles, edge crack and other four kinds of typical defects of steel strip, we propose a feature extraction method based on gray level co-occurrence matrix(GLCM). Matlab simulation achieved that using four-dimensional parameters characteristic to describe the texture feature of steel strip defects. The results show that feature parameters of GLCM can describe the texture information of strip image effectively and can classify these four kinds of defects.
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICMLC.2015.7340925
  • Filename
    7340925