• DocumentCode
    1808367
  • Title

    Multi-scale curvatures for contour feature extraction

  • Author

    Deguchi, Koichiro

  • Author_Institution
    Fac. of Eng., Tokyo Univ., Japan
  • fYear
    1988
  • fDate
    14-17 Nov 1988
  • Firstpage
    1113
  • Abstract
    A method is described to extract features of contour of a figure based on its curvature. For a digital figure, curvatures are approximated by using differences of contour tangential angles at two points apart from each other with an appropriate distance scale. In this method, a set of curvatures with various scales is calculated, and from the curvature changes with respect to the multiple scales, the features of the original contour, such as the locations and angles of vertices, are extracted. The view-field resolutions for the analysis of features of figures are determined automatically, for each figure and its parts
  • Keywords
    pattern recognition; contour feature extraction; digital figure; multi-scale curvatures; pattern recognition; view-field resolutions; Digital images; Feature extraction; Large-scale systems; Noise generators;
  • 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.1988.28456
  • Filename
    28456