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

被引：4

作者：

Brunet, Dominique ^{[1
]}

Sills, David ^{[1
]}

机构：

[1] Environm Canada, Cloud Phys & Severe Weather Res Sect, King City, ON, Canada

来源：

IEEE SIGNAL PROCESSING LETTERS | 2015年 / 22卷 / 11期

关键词：

Contour morphing; level-set methods; meteorological data; non-rigid image registration; REGISTRATION; DISTANCE;

D O I：

10.1109/LSP.2015.2447279

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1936 / 1939

页数：4

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