• DocumentCode
    1517887
  • Title

    Piecewise Linear Curve Approximation Using Graph Theory and Geometrical Concepts

  • Author

    Koutroumbas, Konstantinos D.

  • Author_Institution
    Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, Greece
  • Volume
    21
  • Issue
    9
  • fYear
    2012
  • Firstpage
    3877
  • Lastpage
    3887
  • Abstract
    In this paper, a new methodology for curve approximation is presented. The method is suitable for both self-intersected and non self-intersected curves, it combines elements from graph theory and from elementary geometry and it is fully automated. More specifically, graph theory tools are utilized in order: 1) to remove the details that are irrelevant to the general shape of the curve under study and 2) to decompose the curve into non self-intersecting smaller curves. Then, each such smaller curve is processed via geometrical tools in order to approximate it efficiently with linear segments. Experimental results show that the proposed method compares well with several other methods of the same purpose.
  • Keywords
    Approximation methods; Geometry; Graph theory; Image segmentation; Materials; Piecewise linear approximation; Shape; Approximation; curve data approximation; elementary geometry; minimum spanning tree (MST);
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2012.2199507
  • Filename
    6200855