• DocumentCode
    2488683
  • Title

    A programmable analogue CMOS chip for high speed image processing based on cellular neural networks

  • Author

    Kinget, Peter ; Steyaert, Michiel

  • Author_Institution
    ESAT, Katholieke Univ., Leuven, Heverlee, Belgium
  • fYear
    1994
  • fDate
    1-4 May 1994
  • Firstpage
    570
  • Lastpage
    573
  • Abstract
    This paper describes an analogue CMOS VLSI chip which implements a 4×4 continuous time cellular neural network (CNN) with programmable templates. With a new programmable current mirror circuit, the individual template values can be continuously set between 4 and 1/4 and the sign can be switched. Measurements are presented for the operation of the chip as a connected component detector, holefiller and shadow maker. It is demonstrated that this chip can be considered as an analogue programmable image processor. The programmable templates are to CNNs what instructions are to a microprocessor
  • Keywords
    CMOS analogue integrated circuits; VLSI; analogue processing circuits; cellular neural nets; video signal processing; VLSI; cellular neural networks; connected component detector; current mirror circuit; high speed image processing; holefiller; programmable analogue CMOS chip; programmable templates; shadow maker; CMOS process; Capacitors; Cellular neural networks; Circuit optimization; Image edge detection; Image processing; Integrated circuit interconnections; Turing machines; Very large scale integration; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Custom Integrated Circuits Conference, 1994., Proceedings of the IEEE 1994
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-1886-2
  • Type

    conf

  • DOI
    10.1109/CICC.1994.379657
  • Filename
    379657