• DocumentCode
    786789
  • Title

    A neural network accelerator for image analysis

  • Author

    Cosatto, Eric ; Craf, H.P.

  • Author_Institution
    Dept. of Adaptive Syst. Res., AT&T Bell Labs., Holmdel, NJ, USA
  • Volume
    15
  • Issue
    3
  • fYear
    1995
  • fDate
    6/1/1995 12:00:00 AM
  • Firstpage
    32
  • Lastpage
    38
  • Abstract
    At the heart of this image analysis system are two NET32K analog neural network chips, computing over 100 billion multiply-accumulates per second. The system simultaneously scans sixty-four 16×16-pixel templates over bi-level images, producing feature maps that mark matches between the image and the templates. When we code simple, generic shapes into the templates, the feature maps allow us to make quick, robust analyses of complex, noisy images
  • Keywords
    image processing; neural chips; neural net architecture; NET32K analog neural network chips; feature maps; image analysis; neural network accelerator; noisy images; templates; Analog computers; Image analysis; Image resolution; Image texture analysis; Neural networks; Neurons; Noise shaping; Pixel; Robustness; Shape;
  • fLanguage
    English
  • Journal_Title
    Micro, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1732
  • Type

    jour

  • DOI
    10.1109/40.387680
  • Filename
    387680
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=786789