• DocumentCode
    3339506
  • Title

    Approximation of digitized curves with cubic Bézier splines

  • Author

    Kolesnikov, Alexander

  • Author_Institution
    Sch. of Comput., Univ. of Eastern Finland, Joensuu, Finland
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    4285
  • Lastpage
    4288
  • Abstract
    In this paper we examine a problem of digitized curves approximation for raster graphics vectorization and develop an efficient implementation of a near-optimal Dynamic Programming algorithm for digitized curves approximation with cubic Bézier splines for a given distortion bound. For better fitting performance, we introduce the inflection points with relaxed constraint of tangent continuity. The proposed algorithm demonstrates superiority over the iterative breakpoint-insertion method in terms of segments number for a given distortion bound.
  • Keywords
    computer graphics; dynamic programming; image processing; splines (mathematics); cubic Bezier splines; digitized curve approximation; near optimal dynamic programming algorithm; raster graphics vectorization; segments number; Algorithm design and analysis; Approximation algorithms; Approximation error; Heuristic algorithms; Image segmentation; Spline; Spline functions; curve fitting; graph theory; image shape analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5651820
  • Filename
    5651820