• DocumentCode
    2233933
  • Title

    Measuring similarity between color image regions

  • Author

    Akcay, M. ; Baskurt, A. ; Sankur, B.

  • Author_Institution
    LIGIM (Comput. Graphics, Image & Modeling Lab.), Villeurbanne, France
  • fYear
    2002
  • fDate
    3-6 Sept. 2002
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a methodology for measuring the similarity between two color image regions. An isolated object or a segmented region is described with the Color Angular Radial Transform (CART) introduced in this study. This new region-based descriptor uses both the shape information in the luminance component and the spatial distribution of the dominant colors in the region. The similarity between two regions results from the weighted sum of the shape and color features. Results obtained on MPEG-7 data set are presented and discussed.
  • Keywords
    image colour analysis; image segmentation; CART; MPEG-7 data set; color angular radial transform; color image region similarity measurement; image segmentation; luminance component; spatial distribution; Color; Graphical models; Image color analysis; Shape; Subspace constraints; Transform coding; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2002 11th European
  • Conference_Location
    Toulouse
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7072003
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2233933