• DocumentCode
    1582211
  • Title

    CNN model for identifying colors under different illumination conditions via Land´s experiments

  • Author

    Zarándy, Ákos ; Grawe, Edward ; Roska, Tamás ; Werblin, Frank ; Chua, Leon O.

  • Author_Institution
    Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
  • fYear
    1996
  • Firstpage
    163
  • Lastpage
    168
  • Abstract
    We present a CNN model for separating colors under different illumination conditions. The color model is based on Land´s assumption: the individual monochromatic channels are processed separately. However, we use a different channel processing model. The model was evaluated on a Mondrian image
  • Keywords
    cellular neural nets; image colour analysis; CNN model; Mondrian image; colors identification; illumination conditions; monochromatic channels; Biological system modeling; Cellular neural networks; Color; Displays; Humans; Image processing; Laboratories; Light sources; Lighting; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
  • Conference_Location
    Seville
  • Print_ISBN
    0-7803-3261-X
  • Type

    conf

  • DOI
    10.1109/CNNA.1996.566514
  • Filename
    566514
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1582211