• DocumentCode
    3061290
  • Title

    Methods for hierarchical analysis of concavities

  • Author

    Borgefors, Gunilla ; Di Baja, Gabriella Sanniti

  • Author_Institution
    Swedish Defence Res. Establ., Linkoping, Sweden
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    171
  • Lastpage
    175
  • Abstract
    Presents an iterative parallel procedure for computing concavity trees of a digital shape in a multi-resolution structure. The pattern is, at all resolution levels, covered by an almost convex polygon, closely fitting the pattern itself. When the polygons have been created, a hierarchical structure is built, which points out the relations among the concavities at different resolution levels. Also some properties characterizing the added regions are computed. On the highest resolution level, a meta-concavity tree is built up. This tree can be used to analyse and hierarchically rank the shape concavities
  • Keywords
    image processing; iterative methods; parallel algorithms; almost convex polygon; concavities; digital shape; hierarchical analysis; image processing; iterative parallel procedure; meta-concavity tree; multi-resolution structure; Area measurement; Color; Concurrent computing; Filling; Information analysis; Parallel architectures; Parallel machines; Pattern analysis; Performance analysis; Shape measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2920-7
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201954
  • Filename
    201954