• DocumentCode
    2706943
  • Title

    A nonlinear diffusion equation as a fast and optimal solver of edge detection problems

  • Author

    Pollak, Ilya ; Willsky, Alan S. ; Krim, Hamid

  • Author_Institution
    Lab. for Inf. & Decision Syst., MIT, Cambridge, MA, USA
  • Volume
    6
  • fYear
    1999
  • fDate
    15-19 Mar 1999
  • Firstpage
    3449
  • Abstract
    A nonlinear diffusion process known to be effective for image segmentation is analyzed in 1-D. It is shown that it optimally solves certain edge detection problems. A fast implementation of the algorithm is introduced
  • Keywords
    edge detection; image segmentation; maximum likelihood detection; maximum likelihood estimation; nonlinear differential equations; optimisation; partial differential equations; algorithm; edge detection problems; fast implementation; fast solver; image segmentation; maximum likelihood solutions; nonlinear diffusion equation; nonlinear diffusion filtering; nonlinear partial differential equations; optimal solver; Differential equations; Diffusion processes; Image analysis; Image edge detection; Image restoration; Image segmentation; Information analysis; Laboratories; Nonlinear equations; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-5041-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1999.757584
  • Filename
    757584