• DocumentCode
    315943
  • Title

    A fuzzy system for rose recognition

  • Author

    Zhenjiang, Miao ; Gandelin, M.-H.

  • Author_Institution
    Inst. National de la Recherche Agronomique, GIP-GEVES, Sophia Antipolis, France
  • Volume
    2
  • fYear
    1997
  • fDate
    1-5 Jul 1997
  • Firstpage
    1083
  • Abstract
    This paper describes a rose analysis and recognition program and presents some principles of a fuzzy system realizing this recognition program. The major principles presented in this paper are our fuzzy description methods for rose features, which explain how to mathematically and quantitatively describe rose features by the fuzzy set concept, and weight coefficient, which explains how to use different rose features rationally in the recognition scheme. Experiment results are given which demonstrate the efficiency of our methods
  • Keywords
    expert systems; feature extraction; fuzzy set theory; fuzzy systems; fuzzy description methods; fuzzy set concept; fuzzy system; rose features; rose recognition; weight coefficient; Acceleration; Automatic control; Fuzzy sets; Fuzzy systems; Image analysis; Image color analysis; Image recognition; Processor scheduling; Protection; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    0-7803-3796-4
  • Type

    conf

  • DOI
    10.1109/FUZZY.1997.622860
  • Filename
    622860