DocumentCode :
3116122
Title :
Flow feature extraction in oceanographic visualization
Author :
Guo, Da ; Evangelinos, Constantinos ; Patrikalakis, Nicholas M.
Author_Institution :
Dept. of Ocean Eng., Massachusetts Inst. of Technol., MA
fYear :
2004
fDate :
19-19 June 2004
Firstpage :
162
Lastpage :
173
Abstract :
This paper presents a novel method to detect an important flow feature, vortices, in the ocean. Our method can detect closed streamlines around vortex cores. Coupled with existing vortex core detection, the entire vortex area, which is the combination of the vortex core and surrounding streamlines, can be detected. A variety of feature extraction methods are presented, and those more pertinent to this study are implemented. Detection results are evaluated in terms of accuracy, clarity and usability
Keywords :
computational geometry; data visualisation; feature extraction; flow visualisation; oceanography; vortices; closed streamline detection; flow feature extraction; oceanographic visualization; vortex core detection; Data mining; Data visualization; Feature extraction; Geometry; Marine technology; Oceans; Predictive models; Sea surface; Tensile stress; Usability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics International, 2004. Proceedings
Conference_Location :
Crete
ISSN :
1530-1052
Print_ISBN :
0-7695-2171-1
Type :
conf
DOI :
10.1109/CGI.2004.1309207
Filename :
1309207
Link To Document :
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