• DocumentCode
    1901879
  • Title

    A cortical structure for real world image processing

  • Author

    Kopecz, Jörg

  • Author_Institution
    Inst. fuer Neuroinf., Ruhr-Univ., Bochum, Germany
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    138
  • Abstract
    Neural architecture as found in the mammalian visual cortex is used for visual processing of real world camera images. The neural architecture used does not refer to classical neural nets but to more global characteristics such as the typical receptive field characteristics, two-dimensional cortical structure, local operations and topographic arrangement of cells. The self-organization algorithm analyzed and named elastic field algorithm is an alternative to the Kohonen model. Known facts from image processing are included in the model to achieve high performance
  • Keywords
    computer vision; self-organising feature maps; stereo image processing; cortical structure; elastic field algorithm; global characteristics; local operations; neural architecture; real world camera images; real world image processing; receptive field characteristics; topographic arrangement; two-dimensional cortical structure; visual processing; Biology computing; Cameras; Electronic mail; Gabor filters; Histograms; Image coding; Image processing; Image segmentation; Robot vision systems; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993., IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-0999-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1993.298517
  • Filename
    298517