• DocumentCode
    1696474
  • Title

    Colour normalisation based on background information

  • Author

    Vanrell, Maria ; Lumbreras, Felipe ; Pujol, Albert ; Baldrich, Ramon ; Lladós, Josep ; Villanueva, J.J.

  • Author_Institution
    Dept. d´´Inf., Univ. Autonoma de Barcelona, Spain
  • Volume
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    874
  • Abstract
    This paper proposes an improvement on a well-known colour normalisation by the introduction of some knowledge on background. Comprehensive normalisation gives an invariant representation of the image colour. This invariant representation can be considered a canonical representation whenever image content is preserved and changes are only due to illuminant conditions. One of the steps of the normalisation is based on the grey-world normalisation that removes colour changes on each channel. Because a diagonal model is assumed, the independence of chromatic variations is also achieved if the channel normalisation is applied only with background mean in spite of image mean. This will allow one to remove illuminant effects meanwhile no influence from the foreground is introduced on the normalised coordinates. It will provide an almost canonical colour space without an explicit estimation of the scene illuminant
  • Keywords
    image colour analysis; image representation; lighting; visual perception; HVS; background extraction method; background information; background mean; canonical colour space; canonical representation; channel normalisation; chromatic variations; comprenhensive color normalisation; diagonal model; grey-world normalisation; human visual system; illuminant conditions; image content; image mean; invariant representation; normalised coordinates; Computer vision; Counting circuits; Hair; Humans; Image representation; Image segmentation; Layout; Proposals; Surveillance; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.959185
  • Filename
    959185