• DocumentCode
    683683
  • Title

    Feature Emphasized OLIC for 2D Flow Visualization

  • Author

    Beichen Liu ; Wenyao Zhang ; Yueguang Wang ; Yuezhu Pei

  • Author_Institution
    Sch. of Comput. Sci., Beijing Inst. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    14-15 Dec. 2013
  • Firstpage
    635
  • Lastpage
    639
  • Abstract
    In order to emphasize features in flow textures while preserving the orientation of flows in 2D fields, a new method to generate flow textures with non-uniform streamlets is proposed in this paper. In the method, a control grid is built and divided into different regions that reflect the complexity of the underlying flow field. The resulting regions are then used to control to the distribution of droplets and the corresponding calculation of streamlets involved in OLIC. By this means, streamlets are dense around salient flow features, while in other areas they are sparse. The disparity of streamlets highlights features in flow fields. Test results show that our method can achieve pleasing visual effect. It is flexible and superior to the original OLIC.
  • Keywords
    computational fluid dynamics; convolution; data visualisation; flow visualisation; image texture; 2D flow visualization; droplet distribution; feature emphasized OLIC; flow orientation preservation; flow texture generation; oriented line integral convolution; Complexity theory; Convolution; Kernel; Streaming media; Vectors; Visual effects; Visualization; OLIC; features; flow visualization; textures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2013 9th International Conference on
  • Conference_Location
    Leshan
  • Print_ISBN
    978-1-4799-2548-3
  • Type

    conf

  • DOI
    10.1109/CIS.2013.139
  • Filename
    6746507