• DocumentCode
    1709890
  • Title

    A new theoretical approach to relaxation, application to edge detection

  • Author

    Levy, Michel

  • Author_Institution
    Univ. de Paris Sud, Orsay, France
  • fYear
    1988
  • Firstpage
    208
  • Abstract
    The algorithm introduced by A. Rosenfeld, R.A. Hummel and S.W. Zucker (1976) is studied. Links between dynamic system concepts (equilibrium stability) and relaxation concepts (ambiguity and consistency) are established. It is proved that during the procedure the consistency increases and converges. An algorithm is then introduced in which labels no longer compete with one another at every site. This algorithm works far better every time a multiple labeling is necessary (edge detection, segmentation, etc.) or even possible. It is proved that the same properties hold for this procedure as for Rosenfeld et al.´s. An experimental study of edge detection. The problem of initial edge detection, is also reported. Compatibility choice, asymptotic behavior, and resistance of the algorithm to perturbations of the compatibilities are dealt with
  • Keywords
    pattern recognition; picture processing; relaxation theory; compatibilities; consistency; dynamic system concepts; edge detection; multiple labeling; pattern recognition; perturbations; picture processing; relaxation; segmentation; Humans; Image edge detection; Joining processes; Labeling; Layout; Neurons; Random variables; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1988., 9th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    0-8186-0878-1
  • Type

    conf

  • DOI
    10.1109/ICPR.1988.28208
  • Filename
    28208