• DocumentCode
    701610
  • Title

    Data-dependent filtering based on IF-THEN rules and else rule

  • Author

    Taguchi, Akira ; Kimura, Tomoaki

  • Author_Institution
    Department of Electrical and Electronic Engineering, Musashi Institute of Technology, Setagaya-ku, Tokyo 158, Japan
  • fYear
    1996
  • fDate
    10-13 Sept. 1996
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We have proposed fuzzy filters based on local characteristics, in order to remove additive noise while preserving signal edges. Fuzzy filters were constructed by only IF-THEN rules. This paper shows a novel fuzzy filter which is constructed by not only IF-THEN rules but also ELSE rule. A lot of IF-THEN rules which have the same consequent, can be integrated into one ELSE rule. As a results, introducing the ELSE rule can realize increasing the local characteristics for the fuzzy filter without increasing the number of IF-THEN rules.
  • Keywords
    Filtering; Fires; Fuzzy logic; Gaussian noise; Image processing; Tuning; Wiener filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
  • Conference_Location
    Trieste, Italy
  • Print_ISBN
    978-888-6179-83-6
  • Type

    conf

  • Filename
    7083337