• DocumentCode
    1687501
  • Title

    A new method for leather texture image classification

  • Author

    Wang, Qingyuan ; Liu, Hong ; Liu, Jianqin ; Wu, Tian

  • Author_Institution
    Inst. of Artificial Intelligence & Robotics, Xi´´an Jiaotong Univ., China
  • fYear
    1992
  • Firstpage
    304
  • Abstract
    A new texture classification method intended for classifying leathers made of the same materials is presented. Unlike the conventional methods which mainly use global features, the authors use both global features extracted from the two dimensional power spectrum of enhanced leather trench image and the local features based on mathematical morphology operation of a segmented leather image. The experiment is conducted on a group of sample leathers and the results are satisfactory
  • Keywords
    feature extraction; image texture; enhanced leather trench image; leather texture image classification; mathematical morphology operation; two dimensional power spectrum; Artificial intelligence; Conducting materials; Feature extraction; Histograms; Image analysis; Image classification; Image texture analysis; Intelligent robots; Morphology; Shape measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 1992., Proceedings of the IEEE International Symposium on
  • Conference_Location
    Xian
  • Print_ISBN
    0-7803-0042-4
  • Type

    conf

  • DOI
    10.1109/ISIE.1992.279565
  • Filename
    279565