• DocumentCode
    350263
  • Title

    MAP segmentation of color images using constraint satisfaction neural network

  • Author

    Kurugollu, F. ; Sankur, B.

  • Author_Institution
    TUBITAK Marmara Res. Centre, Gebze-KOCAELI, Turkey
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    236
  • Abstract
    An improved segmentation algorithm is proposed, which implements the MAP estimation of the label field using a Constraint Satisfaction Neural Network (CSNN). It uses the advantages of stochastic relaxation with those of Gauss-Markov Random Field (GMRF) models. The performance of the algorithm is compared vis-a-vis alternate relaxation schemes using both synthetic and real images
  • Keywords
    image colour analysis; image segmentation; neural nets; MAP estimation; color images; constraint satisfaction neural network; segmentation algorithm; stochastic relaxation; Cellular neural networks; Color; Context modeling; Gaussian processes; Hopfield neural networks; Image segmentation; Layout; Neural networks; Neurons; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    0-7803-5467-2
  • Type

    conf

  • DOI
    10.1109/ICIP.1999.817108
  • Filename
    817108
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=350263