DocumentCode
527369
Title
Topological simplification of planar flow field based on physical feature
Author
Qin, Bo ; Pei, Bao-mei ; Li, Bing ; Wu, Zhan-bin
Author_Institution
Dept. of Comput. Sci. & Technol., Ocean Univ. of China, Qingdao, China
Volume
1
fYear
2010
fDate
11-14 July 2010
Firstpage
128
Lastpage
133
Abstract
The physical feature preserving will be ignored and difficult for parallel implementing when topological simplification of planar flow field by merging the grid. It could not satisfy the real-time requirement for remote visualization. This paper will introduce a topological simplification of planar flow field based on physical feature completely. By creating the physical feature filter of planar flow field, it gains the physical feature parameter image and attains topological simplification by extracting feature regions with image segmentation. The method is easy for parallel implement. The results show that it can get the entire topological structure quickly and accurately from the view of physical feature. It may be a new method for dealing with large-scale planar flow field.
Keywords
feature extraction; flow visualisation; image segmentation; feature extraction; image segmentation; large-scale planar flow field; parallel implementation; physical feature filter; physical feature parameter image; remote visualization; topological simplification; Clocks; Cybernetics; Feature extraction; Machine learning; Streaming media; Topology; Vectors; Topological simplification; parallel implement; physical feature; planar flow field;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5581081
Filename
5581081
Link To Document