• DocumentCode
    1577171
  • Title

    Neuron network for low-level vision: texture segmentation

  • Author

    Levashov, O.V.

  • Author_Institution
    Dept. of Ergonomics & Inf. Process. Syst., MATI, Moscow, Russia
  • fYear
    1992
  • Firstpage
    1068
  • Abstract
    An approach to low-level-vision neural net modeling which is based on the works of N.V. Pozin et al. (1978) on simulation of peripheral neuron structures in the auditory and visual system is proposed. The four-layered neural net described has two modes of processing: texture segmentation of images of visual scenes and extraction of texture boundaries of the images. The efficiency of the neural net was confirmed by computer simulation. The proposed network corresponds to the lateral geniculate nucleus (LGN) level of the visual system
  • Keywords
    computer vision; image segmentation; image texture; neural nets; computer simulation; efficiency; four-layered neural net; lateral geniculate nucleus; low-level-vision neural net modeling; peripheral neuron structures; texture boundaries; texture segmentation; visual scenes; Computational modeling; Computer simulation; Ergonomics; Image processing; Image segmentation; Information processing; Layout; Neural networks; Neurons; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
  • Conference_Location
    Rostov-on-Don
  • Print_ISBN
    0-7803-0809-3
  • Type

    conf

  • DOI
    10.1109/RNNS.1992.268522
  • Filename
    268522