• DocumentCode
    16979
  • Title

    DEB: Definite Error Bounded Tangent Estimator for Digital Curves

  • Author

    Prasad, Dilip K. ; Leung, Maylor K. H. ; Quek, Chai ; Brown, Michael S.

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
  • Volume
    23
  • Issue
    10
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    4297
  • Lastpage
    4310
  • Abstract
    We propose a simple and fast method for tangent estimation of digital curves. This geometric-based method uses a small local region for tangent estimation and has a definite upper bound error for continuous as well as digital conics, i.e., circles, ellipses, parabolas, and hyperbolas. Explicit expressions of the upper bounds for continuous and digitized curves are derived, which can also be applied to nonconic curves. Our approach is benchmarked against 72 contemporary tangent estimation methods and demonstrates good performance for conic, nonconic, and noisy curves. In addition, we demonstrate a good multigrid and isotropic performance and low computational complexity of O(1) and better performance than most methods in terms of maximum and average errors in tangent computation for a large variety of digital curves.
  • Keywords
    computational complexity; computer vision; DEB; computational complexity; computer vision; definite error bounded tangent estimator; digital conics; digital curves; geometric-based method; image processing; isotropic performance; multigrid performance; noisy curves; nonconic curves; Computational complexity; Equations; Estimation; Noise measurement; Optimization; Shape; Upper bound; Digitization; digital curves; tangent estimation;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2014.2346018
  • Filename
    6873254