Affine layer segmentation and adjacency graphs for vortex detection

被引：0
|
作者：
Heroor, S [1 ]
Cohen, I [1 ]
机构：
[1] Univ So Calif, Inst Robot & Intelligent Syst, Los Angeles, CA 90089 USA
来源：
PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4 | 2004年
关键词：
D O I：
10.1109/ICPR.2004.1333744
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we review and present different methods for the detection and characterization of vortices. Our algorithm works on the segmentation of the image into affine layers. These layers are computed using a parametric tensor voting and encoded in an adjacency graph. Paths are computed from the adjacency graph and are used for characterizing paths' properties such as: critical points and vortices. We illustrate the proposed approach to a satellite image sequence of water vapor in the atmosphere.
引用
收藏
页码：223 / 226
页数：4
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