• DocumentCode
    3205409
  • Title

    Anatomy of a color histogram

  • Author

    Novak, Carol L. ; Shafer, Steven A.

  • Author_Institution
    Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1992
  • fDate
    15-18 Jun 1992
  • Firstpage
    599
  • Lastpage
    605
  • Abstract
    It is shown that the color histogram has an even closer relationship to scene properties than has been previously described. Color histograms have identifiable features that relate in a precise mathematical way to scene properties. Object color and illumination color are the most obvious properties that are related to color distribution, and their extraction has already been described. It is shown here that the histogram of color variation may be further exploited to relate its shape to surface roughness and imaging geometry. An understanding of these features allows an improved estimate of illumination color and object color to be made
  • Keywords
    image segmentation; color histogram; identifiable features; illumination color; imaging geometry; scene properties; surface roughness; Anatomy; Geometry; Histograms; Image color analysis; Image segmentation; Layout; Lighting; Reflection; Rough surfaces; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
  • Conference_Location
    Champaign, IL
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2855-3
  • Type

    conf

  • DOI
    10.1109/CVPR.1992.223129
  • Filename
    223129