• DocumentCode
    3055173
  • Title

    On the application of geometrical form description techniques to automatic key-sections recognition

  • Author

    Cortelazzo, G.M. ; Deretta, G. ; Mian, G.A. ; Zamperoni, P.

  • Author_Institution
    Dipartimento di Elettronica e Inf., Padova Univ., Italy
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    420
  • Lastpage
    424
  • Abstract
    Automatic key-section recognition is approached by a two-step procedure. The first step is a screening based on arc/straight-segment classification, which associates to each key section a morphological pattern. The second step measures the string distances by means of nonlinear elastic matching among the key-sections possessing the same morphological description. Arc/straight-segment classification, a typical geometrical form description problem, is studied by two techniques, one based on Euclidean geometry notions and the other based on discrete geometry. The results achieved by the second technique appear superior. The performance of the recognition procedure on key-section databases of practical significance are very satisfactory
  • Keywords
    pattern recognition; picture processing; Euclidean geometry; arc/straight-segment classification; automatic key-sections recognition; discrete geometry; geometrical form description techniques; key-section databases; morphological pattern; nonlinear elastic matching; string distances; Digital images; Encoding; Geometry; Manufacturing processes; Metalworking machines; Monitoring; Pixel; Production; Quality control; Shape control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2910-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201590
  • Filename
    201590