• DocumentCode
    2644725
  • Title

    Image Retrieval Based on Fuzzy Color Histogram

  • Author

    Kai-xing Wu ; Qiang Xu

  • Author_Institution
    Sch. of Inf. & Electron. Eng., Hebei Univ. of Eng., Handan
  • fYear
    2008
  • fDate
    15-17 Aug. 2008
  • Firstpage
    75
  • Lastpage
    78
  • Abstract
    Due to its simple, low computation complexity and invariant to geometric transform, color feature is widely used in content-based image retrieval (CBIR). In this paper, a new fuzzy method of color histogram is proposed based on the Lab color space, which links the three histograms created by the three components of the color space and provides a histogram which contains only ten bins. The experimental results prove that the proposed method is more accurate and robust than other methods of histogram.
  • Keywords
    content-based retrieval; fuzzy set theory; image colour analysis; image retrieval; Lab color space; color feature; computation complexity; content-based image retrieval; fuzzy color histogram; geometric transform; image retrieval; Color; Colored noise; Content based retrieval; Fuzzy logic; Fuzzy systems; Histograms; Image retrieval; Information retrieval; Layout; Performance evaluation; Color histograms; Fuzzy systems; Image retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-0-7695-3278-3
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2008.57
  • Filename
    4604011