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
Link To Document :
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