• DocumentCode
    1033060
  • Title

    Piecewise Linear Digital Curve Representation and Compression Using Graph Theory and a Line Segment Alphabet

  • Author

    Hajdu, András ; Pitas, Ioannis

  • Author_Institution
    Dept. of Inf., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
  • Volume
    17
  • Issue
    2
  • fYear
    2008
  • Firstpage
    126
  • Lastpage
    133
  • Abstract
    The use of an alphabet of line segments to compose a curve is a possible approach for curve data compression. Many approaches are developed with the drawback that they can process simple curves only. Curves having more sophisticated topology with self-intersections can be handled by methods considering recursive decomposition of the canvas containing the curve. In this paper, we propose a graph theory-based algorithm for tracing the curve directly to eliminate the decomposition needs. This approach obviously improves the compression performance, as longer line segments can be used. We tune our method further by selecting optimal turns at junctions during tracing the curve. We assign a polygon approximation to the curve which consists of letters coming from an alphabet of line segments. We also discuss how other application fields can take advantage of the provided curve description scheme.
  • Keywords
    curve fitting; data compression; graph theory; curve data compression; graph theory; line segment alphabet; piecewise linear digital curve representation; polygon approximation; Data compression; Digital images; Geometry; Graph theory; Graphics; Image coding; Image segmentation; Piecewise linear approximation; Piecewise linear techniques; Topology; Chinese postman problem; Euler graph; curve compression; curve partitioning; optimal curve tracing; Algorithms; Computer Graphics; Computer Simulation; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Linear Models; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2007.914202
  • Filename
    4429310