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
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;
Conference_Titel :
Computer Graphics International, 2004. Proceedings
Conference_Location :
Crete
Print_ISBN :
0-7695-2171-1
DOI :
10.1109/CGI.2004.1309207