• DocumentCode
    936228
  • Title

    Some NP-hard polygon decomposition problems

  • Author

    Rourke, Joseph O. ; Supowit, Kenneth I.

  • Volume
    29
  • Issue
    2
  • fYear
    1983
  • fDate
    3/1/1983 12:00:00 AM
  • Firstpage
    181
  • Lastpage
    190
  • Abstract
    The inherent computational complexity of polygon decomposition problems is of theoretical interest to researchers in the field of computational geometry and of practical interest to those working in syntactic pattern recognition. Three polygon decomposition problems are shown to be NP-hard and thus unlikely to admit efficient algorithms. The problems are to find minimum decompositions of a polygonal region into (perhaps overlapping) convex, star-shaped, or spiral subsets. We permit the polygonal region to contain holes. The proofs are by transformation from Boolean three-satisfiability, a known NP-complete problem. Several open problems are discussed.
  • Keywords
    Image analysis, shape; Image shape analysis; Computational complexity; Computational geometry; Current measurement; Helium; Libraries; NP-complete problem; Pattern recognition; Qualifications; Shape; Spirals;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.1983.1056648
  • Filename
    1056648