• DocumentCode
    2027436
  • Title

    Features composition for proficient and real time retrieval in content based image retrieval system

  • Author

    Sedghi, Tohid ; Fakheri, Majid ; Amirani, Mehdi C.

  • Author_Institution
    Dept. of Electr. Eng., Urmia Univ., Urmia, Iran
  • fYear
    2010
  • fDate
    27-28 Oct. 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Content-Based Image Retrieval (CBIR) systems employ colour as primary feature with texture and shape as secondary features. Very few systems exploit spatial features. None of the available systems combines all three visual features, texture, shape and location, for organization and retrieval. In this paper a simple, image retrieval system is presented. The proposed system uses weighted combination of integrated texture features, shape features of texture regions.
  • Keywords
    content-based retrieval; image colour analysis; image retrieval; image texture; colour feature; content based image retrieval system; features composition; real time retrieval; shape features; texture features; Feature extraction; Filter banks; Gabor filters; Image retrieval; Manganese; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Image Processing (MVIP), 2010 6th Iranian
  • Conference_Location
    Isfahan
  • Print_ISBN
    978-1-4244-9706-5
  • Type

    conf

  • DOI
    10.1109/IranianMVIP.2010.5941141
  • Filename
    5941141