Article | Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th ‚Äď 27th, 2017 | Wave Front Tracking using Template Matching and Segmented Regression
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Title:
Wave Front Tracking using Template Matching and Segmented Regression
Author:
Eirik Siljan: Department of process, energy and environmental technology, University College of Southeast Norway, Norway Marius Lysaker: Department of process, energy and environmental technology, University College of Southeast Norway, Norway Samee Maharjan: Department of process, energy and environmental technology, University College of Southeast Norway, Norway
DOI:
10.3384/ecp17138326
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th ‚Äď 27th, 2017
Issue:
138
Article no.:
043
Pages:
326-331
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2017-09-27
ISBN:
978-91-7685-417-4
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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An experimental study was designed to measure shock waves (supersonic gas flow) in a shock tube. A highspeed camera captured images of the shock waves, at a framerate up to 500,000 frames per second. With respect to the huge number of images to be analyzed, an imageprocessing algorithm was developed for automatic tracking of the shock waves. However, each shock wave might be divided into to two parts; a normal shock (the shock wave is perpendicular to the flow direction), and an oblique shock (the shock is at an oblique angle relative to the flow direction). The proposed framework calculates the characteristics of the wave front, i.e. the angle and velocity of normal and oblique shocks. A technique based on Template Matching and an extended version of Segmented Regression is developed to track the wave front in the high-speed videos. To our understanding, the proposed framework is novel, and our findings are in accordance with results derived from pressure sensors within the test tube

Keywords: front tracking, image processing template matching.

Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th ‚Äď 27th, 2017

Author:
Eirik Siljan, Marius Lysaker, Samee Maharjan
Title:
Wave Front Tracking using Template Matching and Segmented Regression
DOI:
http://dx.doi.org/10.3384/ecp17138326
References:
No references available

Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th ‚Äď 27th, 2017

Author:
Eirik Siljan, Marius Lysaker, Samee Maharjan
Title:
Wave Front Tracking using Template Matching and Segmented Regression
DOI:
http://dx.doi.org/10.3384/ecp17138326
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Last updated: 2017-02-21