• DocumentCode
    1122248
  • Title

    An Iterative Segmentation Method Based on a Contextual Color and Shape Criterion

  • Author

    Chassery, J.M. ; Garbay, C.

  • Author_Institution
    E.M.Q.C.-TIM 3, Cermo, 38402 Saint Martin, d´´Heres Cedex, France.
  • Issue
    6
  • fYear
    1984
  • Firstpage
    794
  • Lastpage
    800
  • Abstract
    An iterative segmentation method is presented and illustrated on specific examples. Full control of each iteration step is obtained by combining local and global properties according to a model of the image structure. A consistent convergence criterion is derived from additional image structure properties and a test is proposed to evaluate adequacy of segmentation.
  • Keywords
    Convergence; Histograms; Image color analysis; Image segmentation; Iterative methods; Labeling; Process control; Shape control; Stochastic processes; Testing; Color; convexity; cytology; image segmentation; iterative processing;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1984.4767603
  • Filename
    4767603