• DocumentCode
    1610662
  • Title

    A simple texture descriptor for texture retrieval

  • Author

    Liu, Ying ; Zhou, Xiaofang

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., Australia
  • Volume
    2
  • fYear
    2003
  • Firstpage
    1662
  • Abstract
    Texture feature extraction is an important part in content-based image retrieval system. This paper describes a simple and effective texture feature extraction algorithm. Previous work based on image decomposition techniques usually use mean and variance of each subband in decomposition domain to form texture descriptor. The proposed texture descriptor uses the variance information and the luminance property of the texture to form the descriptor. Experimental results on the Brodatz texture database show that the proposed descriptor can provide comparable retrieval performance with approximately only half the number of features used compared with previous work.
  • Keywords
    brightness; computer graphics; content-based retrieval; discrete cosine transforms; discrete wavelet transforms; feature extraction; image texture; Brodatz texture database; content-based image retrieval system; luminance property; simple texture descriptor; texture feature extraction; texture retrieval; variance information; Content based retrieval; Discrete cosine transforms; Discrete wavelet transforms; Feature extraction; Image databases; Image retrieval; Indexing; Information retrieval; Multimedia communication; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology Proceedings, 2003. ICCT 2003. International Conference on
  • Print_ISBN
    7-5635-0686-1
  • Type

    conf

  • DOI
    10.1109/ICCT.2003.1209846
  • Filename
    1209846