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
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;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2015.2447279