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
Link To Document