• DocumentCode
    2448644
  • Title

    Novel weight allocation technique for image retrieval based on higher order colour moments and CCM texture features

  • Author

    Jadhav, Dipti ; Phadke, Gargi ; Devane, Satish

  • Author_Institution
    Ramrao Adik Inst. of Technol., Navi Mumbai, India
  • fYear
    2012
  • fDate
    16-18 July 2012
  • Firstpage
    129
  • Lastpage
    133
  • Abstract
    Content Based Image Retrieval (CBIR) is a technique for retrieving images from a large database without using keyword annotation. Many researchers are developing various techniques for reducing the semantic gap between the results obtained and the user´s needs. This paper provides an efficient two stage CBIR method along with a new classical weight allocation technique. These weights are asssigned to database images. Descending order of the weights are used to retrieve images. This novel weight allocation technique gives appreciating results.
  • Keywords
    content-based retrieval; feature extraction; image colour analysis; image retrieval; image texture; visual databases; CBIR; CCM texture features; content based image retrieval; higher order colour moments; image database; weight allocation technique; Animals; Feature extraction; Histograms; Image color analysis; Image retrieval; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0173-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2012.6376599
  • Filename
    6376599