DocumentCode
510263
Title
Extraction of Limit Streamlines in 2D Flow Field Using Virtual Boundary
Author
Zhang, Wenyao ; Su, Jing
Author_Institution
Sch. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing, China
Volume
1
fYear
2009
fDate
11-14 Dec. 2009
Firstpage
171
Lastpage
175
Abstract
To describe the structure of a flow field and understand the flow field image, limit streamlines must be extracted. In this paper, we propose a new intelligent method to extract them automatically. This method is also based on topological analysis, but has the ability to extract open limit streamlines that are not captured by conventional topology-based methods. Given a 2D flow field, we extend it firstly by vector mirroring around its boundary, and then detect and classify the critical points in the extended field. All saddles among the critical points are selected to compute limit streamlines. Contributing to the boundary extending, open limit streamlines, if any one exists, are included in the resulting lines as well as the closed ones. Furthermore, our method can find out limit cycles at the same time without any modification. Test results show that our method significantly improves the extraction of limit streamlines.
Keywords
feature extraction; 2D flow field; classify critical points; compute limit streamlines; contributing boundary extention; conventional topology based methods; extract open limit streamlines; extraction limit streamlines; flow field image; structure flow field; topological analysis; vector mirroring boundary; virtual boundary; Competitive intelligence; Computational intelligence; Computer science; Computer security; Limit-cycles; Phase detection; Shape; Streaming media; Testing; Topology; boundary extending of vector field; limit cycles; open limit streamlines; topology analysis; virtual boundary;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5411-2
Type
conf
DOI
10.1109/CIS.2009.194
Filename
5376658
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