• DocumentCode
    1808581
  • Title

    Curvilinear feature detection from curvature estimation

  • Author

    O´Gorman, L.

  • Author_Institution
    AT&T Bell Lab., Murray Hill, NJ
  • fYear
    1988
  • fDate
    14-17 Nov 1988
  • Firstpage
    1116
  • Abstract
    The DOS+ method, a particular case of the difference of slopes (DOS) approach, is shown to be effective for estimating curvature in terms of signal detectability. Relationships are established between the DOS+ parameters and feature parameters to distinguish corner and curve features and to accurately determine the locations of corners, transitions between straight lines and curves, and curve centers. Examples show the results of this method applied to curvilinear features and diagrams
  • Keywords
    pattern recognition; DOS+ method; curvature estimation; curvilinear feature detection; difference of slopes approach; pattern recognition; Computer vision; Displays; Image analysis; Image converters; Image sampling; Image segmentation; Length measurement; Object recognition; Signal detection; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1988., 9th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    0-8186-0878-1
  • Type

    conf

  • DOI
    10.1109/ICPR.1988.28457
  • Filename
    28457