• DocumentCode
    432544
  • Title

    Contour simplification using non-linear diffusion

  • Author

    Pinheiro, António M G ; Ghanbari, Mohammed

  • Author_Institution
    Unidade de Deteccao Remota, Univ. da Beira Interior, Covilha, Portugal
  • Volume
    1
  • fYear
    2004
  • fDate
    24-27 Oct. 2004
  • Firstpage
    673
  • Abstract
    The non-linear diffusion of the method of P. Perona and J. Malik (see IEEE Trans. Pattern Anal. and Machine Intelligence, vol.PAMI-12, no.7, p.629-39, 1990; Proc. IEEE Comput. Soc. Workshop on Comput. Vision, p.16-22, 1987) is applied to a contour. Unlike most contour diffusion techniques, the contour is described by the angle variation, and the non-linear diffusion procedure is applied to the contour turning angle. The Perona and Malik model determines how strongly diffusion acts on the original function, and depends on a factor K, estimated automatically. In areas with spatial concentration of strong changes of angle, this factor is also adjusted to reduce the contour small perturbations and noise effects.
  • Keywords
    image segmentation; parameter estimation; angle variation; automatic segmentation; contour diffusion; contour simplification; image processing techniques; nonlinear diffusion; spatial concentration; turning angle; visual data handling techniques; Application software; Image recognition; Internet; MPEG 4 Standard; MPEG 7 Standard; Noise reduction; Noise shaping; Shape; Systems engineering and theory; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2004. ICIP '04. 2004 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-8554-3
  • Type

    conf

  • DOI
    10.1109/ICIP.2004.1418844
  • Filename
    1418844