• DocumentCode
    2626990
  • Title

    A layered architecture for regularization vision chips

  • Author

    Kobayashi, H. ; Matsumoto, T. ; Yagi, T. ; Shimmi, T.

  • Author_Institution
    Yokogawa Electr. Corp., Tokyo, Japan
  • fYear
    1991
  • fDate
    18-21 Nov 1991
  • Firstpage
    1007
  • Abstract
    The authors propose a layered architecture for regularization problems with higher order smoothness constraints which requires only immediate neighborhood wiring and demands no negative conductance. They describe the architecture and show how the network naturally solves regularization problems. They also present an application to the smoothing-contrast enhancement filter for image processing. The authors explain how the architecture has been inspired by physiological experiments on lower vertebrate retina. A CMOS circuitry is given which has been confirmed to work at the SPICE level
  • Keywords
    CMOS integrated circuits; computer vision; computerised picture processing; filtering and prediction theory; linear integrated circuits; neural nets; smoothing circuits; CMOSIC; SPICE; computer vision; image processing; layered architecture; linear integrated circuits; neural nets; regularization vision chips; smoothing-contrast enhancement filter; smoothness constraints; SPICE; Stability; Wiring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991. 1991 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-0227-3
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.170530
  • Filename
    170530