• DocumentCode
    2836270
  • Title

    The Adaptive Topology of a Digital Image

  • Author

    Edelsbrunner, Herbert ; Symonova, Olga

  • Author_Institution
    Inst. of Sci. & Technol. Austria, Klosterneuburg, Austria
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    41
  • Lastpage
    48
  • Abstract
    In order to enjoy a digital version of the Jordan Curve Theorem, it is common to use the closed topology for the foreground and the open topology for the background of a 2-dimensional binary image. In this paper, we introduce a single topology that enjoys this theorem for all thresholds decomposing a real-valued image into foreground and background. This topology is easy to construct and it generalizes to n-dimensional images.
  • Keywords
    curve fitting; image segmentation; topology; 2-dimensional binary image; Jordan curve theorem; adaptive topology; digital image; real-valued image; Voronoi tessellations; cubical subdivisions; digital topology; homology; image processing; persistence; perturbations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Voronoi Diagrams in Science and Engineering (ISVD), 2012 Ninth International Symposium on
  • Conference_Location
    New Brunswick, NJ
  • Print_ISBN
    978-1-4673-1910-2
  • Type

    conf

  • DOI
    10.1109/ISVD.2012.11
  • Filename
    6257655