• DocumentCode
    112220
  • Title

    An Implicit Contour Morphing Framework Applied to Computer-Aided Severe Weather Forecasting

  • Author

    Brunet, Dominique ; Sills, David

  • Author_Institution
    Environ. Canada, King City, ON, Canada
  • Volume
    22
  • Issue
    11
  • fYear
    2015
  • fDate
    Nov. 2015
  • Firstpage
    1936
  • Lastpage
    1939
  • Abstract
    We propose a contour morphing framework that allows large deformations and topological changes while guaranteeing non self-intersecting contours. Instead of explicitly matching contour points, the proposed algorithm combines an implicit contour representation with state-of-the-art deformable image registration. Synthetic and real-life examples from a meteorological application are presented to demonstrate the efficacy of the framework.
  • Keywords
    atmospheric techniques; geophysical image processing; image registration; weather forecasting; computer-aided severe weather forecasting; implicit contour morphing framework; meteorological application; nonself-intersecting contours; state-of-the-art deformable image registration; topological changes; Image registration; Interpolation; Shape; Signal processing algorithms; Transforms; Weather forecasting; Contour morphing; level-set methods; meteorological data; non-rigid image registration;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2015.2447279
  • Filename
    7134721