• DocumentCode
    638439
  • Title

    Application of recurrent neural network for multi-step full-color image segmentation

  • Author

    Nemirovskiy, V.B. ; Stoyanov, A.K.

  • Author_Institution
    Tomsk Polytech. Univ., Tomsk, Russia
  • Volume
    2
  • fYear
    2013
  • fDate
    June 28 2013-July 1 2013
  • Firstpage
    221
  • Lastpage
    224
  • Abstract
    Possibility of application of a recurrent neural network for segmentation of full-color images based on a clustering of color components is considered. Questions of multi-step segmentation of such images in different color models are discussed. Experimental results on multi-step segmentation of images are presented in the RGB and YUV color spaces.
  • Keywords
    image colour analysis; image segmentation; pattern clustering; recurrent neural nets; RGE color spaces; YUV color spaces; color components clustering; color models; multistep full-color image segmentation; recurrent neural network; Brightness; Entropy; Image color analysis; Image segmentation; Image; RGB; YUV; clustering; color space; pixel; point map; recurrent neural network; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Strategic Technology (IFOST), 2013 8th International Forum on
  • Conference_Location
    Ulaanbaatar
  • Print_ISBN
    978-1-4799-0931-5
  • Type

    conf

  • DOI
    10.1109/IFOST.2013.6616891
  • Filename
    6616891
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=638439