• DocumentCode
    3600452
  • Title

    On the optimal design of T-norm and T-conorm based fuzzy weighted order statistic filters with neural learning in the application of image processing

  • Author

    Yu, Pao-Ta ; Hsiao, Ying-Chuan

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
  • Volume
    3
  • fYear
    1996
  • Firstpage
    499
  • Abstract
    A new fuzzy filter, called fuzzy weighted order statistic filter, is proposed in this paper to extend the filtering capability of conventional weighted order statistic filter and stack filter
  • Keywords
    filtering theory; fuzzy neural nets; image restoration; learning (artificial intelligence); T-conorm based filters; T-norm based filters; filtering capability; fuzzy weighted order statistic filters; image processing; neural learning; stack filter; Application software; Boolean functions; Computer science; Electronic mail; Fuzzy logic; Image processing; Information filtering; Information filters; Logic design; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
  • Print_ISBN
    0-7803-3073-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1996.541642
  • Filename
    541642
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3600452