• DocumentCode
    3439903
  • Title

    Image Retrieval Based on Spatial Feature of Texture Primitive

  • Author

    Zhao Shan ; Zhai, Hai-Xia

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    An image retrieval based on texture primitive is proposed in this paper. The texture primitive is firstly constructed according to the principle of the block truncation code (BTC). Meantime, based on the analysis of the statistical distribution of the texture primitive, the spatial distribution map of each feature is presented to describe the image texture information. Experimental results show that the proposed method has sound and robust retrieval performance by integrating spatial and texture information into image descriptors.
  • Keywords
    image retrieval; image texture; statistical analysis; block truncation code; image retrieval; spatial information; statistical distribution; texture information; texture primitive spatial feature; Color; Computer science; Data mining; Feature extraction; Image retrieval; Image texture analysis; Information retrieval; Paper technology; Pixel; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.809
  • Filename
    4678717