• DocumentCode
    3061143
  • Title

    The accuracy and precision of curvature estimation methods

  • Author

    Worring, Marcel ; Smeulders, Arnold W M

  • Author_Institution
    Dept. of Math. & Comput. Sci., Amsterdam Univ., Netherlands
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    139
  • Lastpage
    142
  • Abstract
    Deals with the estimation of curvature from digital image data, especially the selection of a curvature estimation procedure based on its accuracy and precision. The authors establish that almost all curvature estimation techniques from literature suffer from a severe directional inaccuracy and/or poor precision (errors depend on the method, orientation and scale ranging from 1% to more than 200%). A practical solution to the curvature estimation problem is presented
  • Keywords
    image processing; parameter estimation; accuracy; curvature estimation; digital image; image processing; orientation based method; osculating circle based method; path based methods; precision; resampling method; Anisotropic magnetoresistance; Computer science; Digital images; Image analysis; Image resolution; Kernel; Mathematics; Maximum likelihood detection; Measurement standards; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2920-7
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201946
  • Filename
    201946