• DocumentCode
    2409750
  • Title

    A revision of pyramid segmentation

  • Author

    Kropatsch, W.G. ; Ben Yacoub, S.

  • Author_Institution
    PRIP Dept., Inst. for Autom., Wien, Austria
  • Volume
    2
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    477
  • Abstract
    Dual graph contraction reduces the number of vertices and of edges of a pair of dual image graphs while, at the same time, the topological relations among the `surviving´ components are preserved. Repeated application produces a stack of successively smaller graphs: a pair of dual irregular pyramids. The process is controlled by selected decimation parameters which consist of a subset of surviving vertices and associated contraction kernels. Equivalent contraction kernels (ECKs) combine two or more contraction kernels into one single contraction kernel which generates the same result in one single dual contraction. This is the basis to the proof that any segmentation can be represented in one single level of such a pyramid. Experimental results demonstrate the applicability on synthetic and real images respectively
  • Keywords
    image segmentation; trees (mathematics); dual graph contraction; dual image graphs; dual irregular pyramids; equivalent contraction kernels; pyramid segmentation; real images; synthetic images; topological relations; Automation; Computational efficiency; Image processing; Image resolution; Image segmentation; Joining processes; Kernel; Noise reduction; Pixel; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546871
  • Filename
    546871