• DocumentCode
    3178934
  • Title

    On shape-preserving boundary conditions for diffusion smoothing

  • Author

    Trucco, Emanuele

  • Author_Institution
    Dept. of Artificial Intelligence, Edinburgh Univ., UK
  • fYear
    1992
  • fDate
    12-14 May 1992
  • Firstpage
    1690
  • Abstract
    Several boundary treatments for attenuating shape deformation introduced by Gaussian smoothing are discussed. The author models Gaussian smoothing by a diffusion equation, a general mathematical framework particularly useful for scale-space analysis. An adaptive, shape-reserving boundary condition for diffusion smoothing range images is introduced. It is shown that this condition is more general than similar techniques found in the literature
  • Keywords
    adaptive systems; filtering and prediction theory; image processing; sensor fusion; Gaussian smoothing; diffusion smoothing; image analysis; range images; scale-space analysis; shape deformation; shape-preserving boundary conditions; Artificial intelligence; Boundary conditions; Data analysis; Equations; Gaussian noise; Image analysis; Image segmentation; Quantization; Smoothing methods; Surface treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1992. Proceedings., 1992 IEEE International Conference on
  • Conference_Location
    Nice
  • Print_ISBN
    0-8186-2720-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.1992.220135
  • Filename
    220135