• DocumentCode
    2968935
  • Title

    Non-Hopfield neuron network for visual texture boundary extraction

  • Author

    Levashov, O. ; Levashova, H.

  • Author_Institution
    Moscow State Univ. of Aviation Technol, Russia
  • Volume
    3
  • fYear
    1993
  • fDate
    25-29 Oct. 1993
  • Firstpage
    2207
  • Abstract
    Non-Hopfield approach to neuron network (NN) development is proposed based on results of the peripheral visual system neuron structure analysis. A 4-layered NN is described for real scene image processing and texture boundary extraction. The proposed NN corresponds to the lateral geniculate nucleus (LGN) level of a cat visual system.
  • Keywords
    computer vision; feature extraction; feedforward neural nets; image processing; image texture; cat visual system; multilayer neural network; neuron structure analysis; non-Hopfield neuron network; peripheral visual system; real scene image processing; visual texture boundary extraction; Computational modeling; Computer simulation; Computer vision; Data mining; Image processing; Layout; Logic; Neural networks; Neurons; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
  • Print_ISBN
    0-7803-1421-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.1993.714164
  • Filename
    714164
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2968935