Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

ELIC and Streamline Injection Based High Quality Visualization for Time-Dependent Surface Flow Field

Authors
Huai-Hui Wang, Xun Cai, Wen-Ke Wang, Si-Kun Li
Corresponding Author
Huai-Hui Wang
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.272How to use a DOI?
Keywords
component, IBFVS, enhanced line integral convolution, streamline, visualization, time-dependent flow field,
Abstract
IBFVS is a classical method for visualizing time-dependent surface flow field, but the quality of the final image is inadequate to get a fully understanding for the visualized flow field. In order to improve the quality of the result image of IBFVS, this paper presents an enhanced IBFVS method based on short ELIC filtering and streamline fragments injection. We take IBFVS as the basic mechanism of our method, and use ELIC filtering and streamline injection to process the injected background image to increase the contrast of the result image. Experiment results show that our method generates a better visualization result than IBFVS and other improved methods.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
DOI
https://doi.org/10.2991/iccsee.2013.272How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Huai-Hui Wang
AU  - Xun Cai
AU  - Wen-Ke Wang
AU  - Si-Kun Li
PY  - 2013/03
DA  - 2013/03
TI  - ELIC and Streamline Injection Based High Quality Visualization for Time-Dependent Surface Flow Field
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iccsee.2013.272
DO  - https://doi.org/10.2991/iccsee.2013.272
ID  - Wang2013/03
ER  -