• DocumentCode
    2605338
  • Title

    Laplacian Based Non-Linear Diffusion Filtering

  • Author

    Nishiguchi, Haruhiko ; Imiya, Atsushi ; Sakai, Tomoya

  • Author_Institution
    Sch. of Sci. & Technol., Chiba Univ.
  • Volume
    3
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    838
  • Lastpage
    841
  • Abstract
    This paper aims to introduce a diffusion filtering based on the Laplacian map. Classical nonlinear diffusion filtering using the gradient-map-controlled local diffusivity. The Laplacian maps has similar geometric properties with the gradient map for the extraction of the region boundaries. Laplacian-based diffusion function has the same property with the Perona-Malik type and the Weickert type diffusion functions for the small scale. However, for the large scale, the diffusion operation has similar geometrical properties with the linear diffusion filtering. Therefore, the filtering operation in this paper provides a method for the combination of hierarchical expression based on linear and nonlinear diffusion filtering operations
  • Keywords
    Laplace equations; feature extraction; filtering theory; image segmentation; Laplacian map; Laplacian-based diffusion function; Perona-Malik type diffusion functions; Weickert type diffusion functions; classical nonlinear diffusion filtering; geometrical properties; gradient-map-controlled local diffusivity; region boundary extraction; Filtering; Image edge detection; Image segmentation; Kernel; Laplace equations; Large-scale systems; Nonlinear filters; Pattern recognition; Smoothing methods; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.742
  • Filename
    1699656