• DocumentCode
    595125
  • Title

    A Semi-Lagrangian scheme for area preserving flows

  • Author

    Carlini, E. ; Ferretti, Rossella

  • Author_Institution
    Dipt. di Mat., Sapienza Univ. di Roma, Rome, Italy
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    2029
  • Lastpage
    2033
  • Abstract
    We propose a new Semi-Lagrangian scheme for the area-preserving Mean Curvature flow. The model uses a level set framework to propagate a closed planar curve. The corresponding flow has been proposed by Sapiro & Tannenbaum [9]. The scheme has the advantage to allow large time step still maintaining a good accuracy. We apply the algorithm to recover the original shape of a synthetic image to which artificial noise has been added. The numerical result shows that the area is preserved during the filtering process.
  • Keywords
    image denoising; image reconstruction; set theory; area-preserving mean curvature flow; artificial noise; closed planar curve; filtering process; level set framework; semiLagrangian scheme; synthetic image original shape recovery algorithm; Approximation methods; Equations; Gaussian noise; Level set; Mathematical model; Noise measurement; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460558