• 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