• DocumentCode
    1694856
  • Title

    Color removal transformation by using fuzzy inference model

  • Author

    Cha, Byungki ; Kawano, Hideaki ; Suetake, Noriaki ; Aso, Takashi

  • Author_Institution
    Kyushu Inst. of Inf. Sci.
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In order to convert a color image into a monochrome one, luminance components of the color image are extracted, and are used in the typical photo re-touching software. This luminance extraction is useful and enough for obtaining a monochrome image in most cases. However, saliencies of the image included only in the chrominance components are not preserved at all. In this paper, we propose a new color removal method that employs the concept of signed color distance, and a fuzzy model. The effectiveness of the proposed method is verified by applying it to some images.
  • Keywords
    feature extraction; fuzzy set theory; image colour analysis; inference mechanisms; color image extraction; color removal transformation; fuzzy inference model; luminance components; photo retouching software; Color; Computational efficiency; Data mining; Equations; Gradient methods; Image converters; Optimization methods; Pixel; Reflection; Sun; Color image; fuzzy inference model; monochrome image; signed color distance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2008. WAC 2008. World
  • Conference_Location
    Hawaii, HI
  • Print_ISBN
    978-1-889335-38-4
  • Electronic_ISBN
    978-1-889335-37-7
  • Type

    conf

  • Filename
    4698975