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Flow Feature Extraction in Oceanographic Visualization
Crete, Greece June 16-June 19
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGI.2004.1309207Computer Graphics International 2004 ...
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Da Guo, Massachusetts Institute of Technology
Constantinos Evangelinos, Massachusetts Institute of Technology
Nicholas M. Patrikalakis, Massachusetts Institute of Technology
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.
Citation:
Da Guo, Constantinos Evangelinos, Nicholas M. Patrikalakis, "Flow Feature Extraction in Oceanographic Visualization," cgi, pp.162-173, Computer Graphics International 2004 (CGI'04), 2004
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