• DocumentCode
    3245961
  • Title

    A fuzzy algorithm for pixel classification based on the discrepancy norm

  • Author

    Bauer, Peter ; Bodenhofer, Ulrich ; Klement, Erich Peter

  • Author_Institution
    Dept. of Math., Johannes Kepler Univ., Linz, Austria
  • Volume
    3
  • fYear
    1996
  • fDate
    11-11 Sept. 1996
  • Firstpage
    2007
  • Abstract
    A fuzzy method for a particular kind of pixel classification is proposed. It is one of the most important results in the development of an inspection system for a silk-screen printing process. The classification algorithm is applied to a reference image in the initial step of the printing process in order to obtain the regions which are to be checked by applying different criteria. Tight limitations in terms of computation speed have necessitated very specific, efficient methods which operate locally. These methods are motivated and discussed in detail.
  • Keywords
    printing; automatic optical inspection; discrepancy norm; fuzzy algorithm; fuzzy set theory; fuzzy system; inspection system; pixel classification; reference image; silk-screen printing process; Area measurement; Chaos; Classification algorithms; Filters; Fuzzy logic; Inspection; Pixel; Printing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
  • Conference_Location
    New Orleans, LA, USA
  • Print_ISBN
    0-7803-3645-3
  • Type

    conf

  • DOI
    10.1109/FUZZY.1996.552744
  • Filename
    552744