• DocumentCode
    381873
  • Title

    Scalable coding of shape contours in scale

  • Author

    Pinheiro, Antbnio M G ; Ghanbari, Mohammed

  • Author_Institution
    Univ. da Beira Interior, Covilha, Portugal
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Abstract
    A method of improving the traditional polygonal approximation methods is described. It has properties such as scalability, resilience to noise, controlled levels of approximation and good visual representation. These properties are a direct result of the use of scale space information to derive the vertices positions of the polygonal approximation. The vertices are situated on the contour points where the changes of the contour directions are at their major sharp positions. An encoding method with a scalable polygonal approximation of shapes is defined, which results in a good relation between the distortion and the bit rate.
  • Keywords
    edge detection; image coding; image representation; polynomial approximation; rate distortion theory; bit rate; contour geometric features; contour points; distortion; encoding method; lossy encoding; noise resilience; polygonal approximation methods; scalable coding; scale space detection; scale space information; shape coding; shape contours; vertices position; visual representation; Bit rate; Encoding; ISO standards; Image coding; MPEG 4 Standard; Noise level; Noise shaping; Resilience; Shape; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing. 2002. Proceedings. 2002 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7622-6
  • Type

    conf

  • DOI
    10.1109/ICIP.2002.1037985
  • Filename
    1037985