• DocumentCode
    1117265
  • Title

    Relaxation: Evaluation and Applications

  • Author

    Fekete, Gyorgy ; Eklundh, Jan-Olof ; Rosenfeld, Azriel

  • Author_Institution
    Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742.
  • Issue
    4
  • fYear
    1981
  • fDate
    7/1/1981 12:00:00 AM
  • Firstpage
    459
  • Lastpage
    469
  • Abstract
    Probabilistic relaxation labeling processes are iterative parallel schemes that use contextual information to reduce local ambiguities. The behavior of these processes can be described by examining the rates of change and entropies of the probability vectors at each iteration. Examples are given comparing three relaxation processes as applied to several basic image analysis tasks.
  • Keywords
    Application software; Computer errors; Image analysis; Linear regression; Pattern classification; Pattern recognition; Regression analysis; Statistics; Utility programs; Vectors; Convergence; entropy; performance analysis; relaxation labeling; thresholding;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1981.4767131
  • Filename
    4767131
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1117265