• DocumentCode
    3520863
  • Title

    Texture classification based on support vector machine and wavelet transform

  • Author

    Sun, Bing-Yu ; Huang, De-Shuang

  • Author_Institution
    Inst. of Intelligent Machines, Chinese Acad. of Sci., Hefei, China
  • Volume
    2
  • fYear
    2004
  • fDate
    15-19 June 2004
  • Firstpage
    1862
  • Abstract
    This paper proposes a novel method of texture image classification based on wavelet transform and support vector machine. Compared to traditional approaches using the bitmap representation as the inputs, our approach can not only reduce the dimension of the input image, but also improve the classification accuracy.
  • Keywords
    feature extraction; feedforward neural nets; image texture; pattern classification; wavelet transforms; feature extraction; feedforward neural network; support vector machine; texture image classification; wavelet transform; Feature extraction; Frequency; Image classification; Pattern recognition; Support vector machine classification; Support vector machines; Testing; Voting; Wavelet coefficients; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1340998
  • Filename
    1340998
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3520863