An image matching approach to tropical cyclone pattern recognition

被引：0
|
作者：
You, J [1 ]
Liu, J [1 ]
Lee, R [1 ]
机构：
[1] Griffith Univ, Sch Comp & Informat Technol, Brisbane, Qld 4111, Australia
来源：
INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS, AND TECHNOLOGY, PROCEEDINGS | 1999年
关键词：
image matching; pattern recognition; wavelet transform; feature extraction; active contour tracing;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an image matching approach to tropical cyclone pattern recognition. We introduce a wavelet-based hierarchical scheme for image matching to extend the traditional Dvorak technique for tropical cyclone intensity analysis and forecasting from satellite imagery. Our algorithm includes 1) dynamic detection of interesting points as feature points at different levels of Subband images via wavelet transform, 2) the use of active contour model (Snake) to extract contour features of tropical cyclone patterns for matching, 3) a guided searching strategy for the best matching from coarse level to fine level. The results show the advantages of our wavelet-based hierarchical image matching scheme in terms of efficiency and accuracy.
引用
收藏
页码：244 / 249
页数：2
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