• DocumentCode
    1578058
  • Title

    Adaptive neuron-like network for a textural segmentation of images

  • Author

    Goltsev, A.D.

  • Author_Institution
    Inst. of Cybern., Acad. Sci., Ukraine
  • fYear
    1992
  • Firstpage
    299
  • Abstract
    Texture features extracted from the image at learning sample points are used for integrated description of the texture. The texture description has the form of an assembly of neuron-like elements, as the values of extracted features are associated with these elements. Each texture is represented by its assembly. The model of the neuron-like network described has been realized as a computer program. Operation of the model was tested on natural textures
  • Keywords
    feature extraction; image segmentation; image texture; neural nets; adaptive neuron like network; feature extraction; image segmentation; learning sample points; textural segmentation; Adaptive systems; Animals; Assembly; Biological neural networks; Brightness; Cybernetics; Image segmentation; Machine vision; Neurons; Robot vision systems;
  • 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.1992.268557
  • Filename
    268557