• DocumentCode
    2269944
  • Title

    Color classification using fuzzy inference and genetic algorithm

  • Author

    Sakurai, Masami ; Kurihara, Yukio ; Karasawa, Shiro

  • Author_Institution
    Ind. Res. Inst. of Kanagawa Prefecture, Yokohama, Japan
  • fYear
    1994
  • fDate
    26-29 Jun 1994
  • Firstpage
    1975
  • Abstract
    A new color classification method using an integrated color sensor has been proposed. This method quickly classifies an unknown color into one of the reference colors by simplified fuzzy inference; the membership functions used for the fuzzy inference are optimized by a genetic algorithm. Simulation of classification between analogous standard colors shows the effectiveness of the proposed method. Furthermore, the proposed method classifies low color-difference glass bottles on the basis of their components for recycling
  • Keywords
    colour; fuzzy set theory; genetic algorithms; image recognition; inference mechanisms; uncertainty handling; color classification; fuzzy inference; fuzzy set theory; genetic algorithm; glass bottles; integrated color sensor; membership functions; Bismuth; Detectors; Fluctuations; Genetic algorithms; Glass products; Lamps; Light sources; Optimization methods; Recycling; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1896-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1994.343538
  • Filename
    343538