• DocumentCode
    1581725
  • Title

    Morphological operators on the CNN Universal Machine

  • Author

    Zarándy, Akos ; Stoffels, André ; Roska, Tamás ; Chua, Leon O.

  • Author_Institution
    Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
  • fYear
    1996
  • Firstpage
    151
  • Lastpage
    156
  • Abstract
    We show that the basic morphological operators can be implemented on the CNN Universal Machine. This includes binary morphological operators that were tested and verified on a working CNN Universal chip. We also show different implementation methods for grayscale morphology using different template types
  • Keywords
    cellular neural nets; image processing; mathematical morphology; neural chips; CNN Universal Machine; CNN Universal chip; binary morphological operators; grayscale morphology; Cellular neural networks; Gray-scale; Image processing; Image reconstruction; Image segmentation; Morphological operations; Morphology; Power system economics; Testing; Turing machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
  • Conference_Location
    Seville
  • Print_ISBN
    0-7803-3261-X
  • Type

    conf

  • DOI
    10.1109/CNNA.1996.566512
  • Filename
    566512