• DocumentCode
    1742365
  • Title

    The Euler feature vector

  • Author

    Stavrianopoulou, A. ; Anastassopoulos, Vassilis

  • Author_Institution
    Electron. Lab., Patras Univ., Greece
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1022
  • Abstract
    Three topological quantities are proposed in order to be used in combination with the Euler number in shape classification procedures. These quantities are evaluated using the convex deficiency of the shape as well as orientation dependent variations of its convex hull. The proposed topological feature vector is prone to problems or instabilities imposed by the rectangular grid. The computational load is related to the time needed for convex hull and Euler number evaluation. Its classification results are satisfactory when it is used in separating typewritten letters or a small number of binary silhouettes
  • Keywords
    image classification; topology; Euler feature vector; Euler number; binary silhouettes; convex deficiency; convex hull; orientation dependent variations; shape classification procedures; topological feature vector; typewritten letters; Airplanes; Gravity; Laboratories; MATLAB; Physics; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.903719
  • Filename
    903719