• DocumentCode
    1855435
  • Title

    Color textured image retrieval by combining texture and color features

  • Author

    Bai, Cong ; Kpalma, Kidiyo ; Ronsin, Joseph

  • Author_Institution
    IETR, Univ. Eur. de Bretagne, Rennes, France
  • fYear
    2012
  • fDate
    27-31 Aug. 2012
  • Firstpage
    170
  • Lastpage
    174
  • Abstract
    A new approach for color textured image retrieval based on the combination of color and texture features is proposed. The features are extracted in DCT domain. For texture featuring, Texture-Pattern is proposed to be constructed by using three groups of AC coefficients of each DCT block from the luminance component. And for color featuring, LumaColor-Pattern is constructed by using the DC coefficients from the luminance and chroma components. The histograms of dominant components of these two patterns are constructed and their combination is used for image retrieval. Experimental results on VisTex database have shown that the proposed method yields higher performance than referred approaches which are reported in recently published literature.
  • Keywords
    brightness; content-based retrieval; discrete cosine transforms; feature extraction; image colour analysis; image texture; visual databases; AC coefficients; DC coefficients; DCT block; DCT domain; LumaColor pattern; VisTex database; chroma components; color feature extraction; color featuring; color textured image retrieval; luminance component; luminance components; texture pattern; Discrete cosine transforms; Feature extraction; Histograms; Image color analysis; Image retrieval; Proposals; Content-based image retrieval; DCT; color; texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
  • Conference_Location
    Bucharest
  • ISSN
    2219-5491
  • Print_ISBN
    978-1-4673-1068-0
  • Type

    conf

  • Filename
    6334212