Dot tracking methodology for background-oriented schlieren (BOS)
Abstract
We propose here a dot tracking methodology for processing background-oriented schlieren (BOS) images. The technique improves the accuracy, precision and spatial resolution compared to conventional cross-correlation algorithms. Our methodology utilizes the prior information about the dot pattern such as the location, size and number of dots to provide near 100% yield even for high dot densities (20 dots/32 × 32 pixels) and is robust to image noise. Furthermore, we propose an improvement to the displacement estimation step in the tracking process, especially for noisy images, using a “correlation correction”, whereby we combine the spatial resolution benefit of the tracking method and the smoothing property of the correlation method to increase the dynamic range of the overall measurement process. We evaluate the performance of the method with synthetic BOS images of buoyancy-driven turbulence rendered using ray-tracing simulations, and experimental images of flow in the exit plane of a converging–diverging nozzle. The results show that the improved spatial resolution results in a better accuracy of the tracking method compared to correlation-based methods in regions with sharp displacement gradients, and the correlation correction step reduces the noise floor of the measurement, resulting in a fourfold improvement in the dynamic range.
- Authors:
-
- Purdue Univ., West Lafayette, IN (United States). School of Aeronautics and Astronautics
- Purdue Univ., West Lafayette, IN (United States). School of Mechanical Engineering
- Publication Date:
- Research Org.:
- Purdue Univ., West Lafayette, IN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Fusion Energy Sciences (FES)
- OSTI Identifier:
- 1598795
- Grant/Contract Number:
- SC0018156
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Experiments in Fluids
- Additional Journal Information:
- Journal Volume: 60; Journal Issue: 11; Journal ID: ISSN 0723-4864
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING
Citation Formats
Rajendran, Lalit K., Bane, Sally P. M., and Vlachos, Pavlos P. Dot tracking methodology for background-oriented schlieren (BOS). United States: N. p., 2019.
Web. doi:10.1007/s00348-019-2793-3.
Rajendran, Lalit K., Bane, Sally P. M., & Vlachos, Pavlos P. Dot tracking methodology for background-oriented schlieren (BOS). United States. https://doi.org/10.1007/s00348-019-2793-3
Rajendran, Lalit K., Bane, Sally P. M., and Vlachos, Pavlos P. Thu .
"Dot tracking methodology for background-oriented schlieren (BOS)". United States. https://doi.org/10.1007/s00348-019-2793-3. https://www.osti.gov/servlets/purl/1598795.
@article{osti_1598795,
title = {Dot tracking methodology for background-oriented schlieren (BOS)},
author = {Rajendran, Lalit K. and Bane, Sally P. M. and Vlachos, Pavlos P.},
abstractNote = {We propose here a dot tracking methodology for processing background-oriented schlieren (BOS) images. The technique improves the accuracy, precision and spatial resolution compared to conventional cross-correlation algorithms. Our methodology utilizes the prior information about the dot pattern such as the location, size and number of dots to provide near 100% yield even for high dot densities (20 dots/32 × 32 pixels) and is robust to image noise. Furthermore, we propose an improvement to the displacement estimation step in the tracking process, especially for noisy images, using a “correlation correction”, whereby we combine the spatial resolution benefit of the tracking method and the smoothing property of the correlation method to increase the dynamic range of the overall measurement process. We evaluate the performance of the method with synthetic BOS images of buoyancy-driven turbulence rendered using ray-tracing simulations, and experimental images of flow in the exit plane of a converging–diverging nozzle. The results show that the improved spatial resolution results in a better accuracy of the tracking method compared to correlation-based methods in regions with sharp displacement gradients, and the correlation correction step reduces the noise floor of the measurement, resulting in a fourfold improvement in the dynamic range.},
doi = {10.1007/s00348-019-2793-3},
journal = {Experiments in Fluids},
number = 11,
volume = 60,
place = {United States},
year = {Thu Oct 10 00:00:00 EDT 2019},
month = {Thu Oct 10 00:00:00 EDT 2019}
}
Web of Science
Figures / Tables:
Works referenced in this record:
Computerized background-oriented schlieren
journal, July 2002
- Meier, G.
- Experiments in Fluids, Vol. 33, Issue 1
Physically-Based Interactive Flow Visualization Based on Schlieren and Interferometry Experimental Techniques
journal, November 2011
- Brownlee, C.; Pegoraro, V.; Shankar, S.
- IEEE Transactions on Visualization and Computer Graphics, Vol. 17, Issue 11
Assessment and application of quantitative schlieren methods: Calibrated color schlieren and background oriented schlieren
journal, November 2003
- Elsinga, G. E.; van Oudheusden, B. W.; Scarano, F.
- Experiments in Fluids, Vol. 36, Issue 2
Whole-field density measurements by 'synthetic schlieren'
journal, April 2000
- Dalziel, S. B.; Hughes, G. O.; Sutherland, B. R.
- Experiments in Fluids, Vol. 28, Issue 4
Super-resolution particle imaging velocimetry
journal, June 1995
- Keane, R. D.; Adrian, R. J.; Zhang, Y.
- Measurement Science and Technology, Vol. 6, Issue 6
On velocity gradients in PIV interrogation
journal, December 2007
- Westerweel, J.
- Experiments in Fluids, Vol. 44, Issue 5
Enhanced particle-tracking velocimetry (EPTV) with a combined two-component pair-matching algorithm
journal, June 2008
- Mikheev, A. V.; Zubtsov, V. M.
- Measurement Science and Technology, Vol. 19, Issue 8
Density measurements using the Background Oriented Schlieren technique
journal, April 2004
- Venkatakrishnan, L.; Meier, G. E. A.
- Experiments in Fluids, Vol. 37, Issue 2
Improvements on the accuracy of derivative estimation from DPIV velocity measurements
journal, October 2005
- Etebari, Ali; Vlachos, Pavlos P.
- Experiments in Fluids, Vol. 39, Issue 6
Principle and applications of the background oriented schlieren (BOS) method
journal, August 2001
- Richard, H.; Raffel, M.
- Measurement Science and Technology, Vol. 12, Issue 9
Iterative multigrid approach in PIV image processing with discrete window offset
journal, May 1999
- Scarano, F.; Riethmuller, M. L.
- Experiments in Fluids, Vol. 26, Issue 6
A variational approach for particle tracking velocimetry
journal, June 2005
- Ruhnau, P.; Guetter, C.; Putze, T.
- Measurement Science and Technology, Vol. 16, Issue 7
Data exploration of turbulence simulations using a database cluster
conference, January 2007
- Perlman, Eric; Burns, Randal; Li, Yi
- Proceedings of the 2007 ACM/IEEE conference on Supercomputing - SC '07
Background-oriented schlieren (BOS) techniques
journal, March 2015
- Raffel, Markus
- Experiments in Fluids, Vol. 56, Issue 3
Fundamentals of digital particle image velocimetry
journal, December 1997
- Westerweel, J.
- Measurement Science and Technology, Vol. 8, Issue 12
Universal outlier detection for PIV data
journal, August 2005
- Westerweel, Jerry; Scarano, Fulvio
- Experiments in Fluids, Vol. 39, Issue 6
A vision-based hybrid particle tracking velocimetry (PTV) technique using a modified cascade correlation peak-finding method
journal, August 2012
- Lei, Y. -C.; Tien, W. -H.; Duncan, J.
- Experiments in Fluids, Vol. 53, Issue 5
Non-iterative double-frame 2D/3D particle tracking velocimetry
journal, August 2017
- Fuchs, Thomas; Hain, Rainer; Kähler, Christian J.
- Experiments in Fluids, Vol. 58, Issue 9
An evaluation of optical flow algorithms for background oriented schlieren imaging
journal, October 2008
- Atcheson, Bradley; Heidrich, Wolfgang; Ihrke, Ivo
- Experiments in Fluids, Vol. 46, Issue 3
Theory of cross-correlation analysis of PIV images
journal, July 1992
- Keane, Richard D.; Adrian, Ronald J.
- Applied Scientific Research, Vol. 49, Issue 3
A novel algorithm for particle tracking velocimetry using the velocity gradient tensor
journal, December 2000
- Ishikawa, M.; Murai, Y.; Wada, A.
- Experiments in Fluids, Vol. 29, Issue 6
A comparison of three quantitative schlieren techniques
journal, January 2012
- Hargather, Michael J.; Settles, Gary S.
- Optics and Lasers in Engineering, Vol. 50, Issue 1
Distortion compensation for generalized stereoscopic particle image velocimetry
journal, December 1997
- Soloff, S. M.; Adrian, R. J.; Liu, Z-C
- Measurement Science and Technology, Vol. 8, Issue 12
On the resolution limit of digital particle image velocimetry
journal, February 2012
- Kähler, Christian J.; Scharnowski, Sven; Cierpka, Christian
- Experiments in Fluids, Vol. 52, Issue 6
A dot tracking algorithm to measure free surface deformations
text, January 2018
- Charruault, F.; Greidanus, A. J.; Breugem, W. -P.
- ETH Zurich
Higher order multi-frame particle tracking velocimetry
journal, May 2013
- Cierpka, Christian; Lütke, Benjamin; Kähler, Christian J.
- Experiments in Fluids, Vol. 54, Issue 5
Comparison of Gaussian particle center estimators and the achievable measurement density for particle tracking velocimetry
journal, August 2000
- Marxen, M.; Sullivan, P. E.; Loewen, M. R.
- Experiments in Fluids, Vol. 29, Issue 2
A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence
journal, January 2008
- Li, Yi; Perlman, Eric; Wan, Minping
- Journal of Turbulence, Vol. 9
Advances in iterative multigrid PIV image processing
journal, December 2000
- Scarano, F.; Riethmuller, M. L.
- Experiments in Fluids, Vol. 29, Issue 7
Methods for Digital Particle Image Sizing (DPIS): Comparisons and improvements
journal, December 2009
- Brady, Michael R.; Raben, Samuel G.; Vlachos, Pavlos P.
- Flow Measurement and Instrumentation, Vol. 20, Issue 6
Assessment of advanced windowing techniques for digital particle image velocimetry (DPIV)
journal, June 2009
- Eckstein, Adric; Vlachos, Pavlos P.
- Measurement Science and Technology, Vol. 20, Issue 7
A particle tracking velocimetry algorithm based on the Voronoi diagram
journal, June 2015
- Zhang, Yang; Wang, Yuan; Yang, Bin
- Measurement Science and Technology, Vol. 26, Issue 7
A review of recent developments in schlieren and shadowgraph techniques
journal, February 2017
- Settles, Gary S.; Hargather, Michael J.
- Measurement Science and Technology, Vol. 28, Issue 4
Tracing rays through graded-index media: a new method
journal, January 1982
- Sharma, Anurag; Kumar, D. Vizia; Ghatak, A. K.
- Applied Optics, Vol. 21, Issue 6
A multi-parametric particle-pairing algorithm for particle tracking in single and multiphase flows
journal, August 2011
- Cardwell, Nicholas D.; Vlachos, Pavlos P.; Thole, Karen A.
- Measurement Science and Technology, Vol. 22, Issue 10
Particle-tracking velocimetry with new algorithms
journal, May 2000
- Ohmi, Kazuo; Li, Hang-Yu
- Measurement Science and Technology, Vol. 11, Issue 6
Buoyancy-driven variable-density turbulence
journal, October 2007
- Livescu, D.; Ristorcelli, J. R.
- Journal of Fluid Mechanics, Vol. 591
Iterative image deformation methods in PIV
journal, November 2001
- Scarano, F.
- Measurement Science and Technology, Vol. 13, Issue 1
Works referencing / citing this record:
Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements
journal, December 2019
- Rajendran, Lalit K.; Zhang, Jiacheng; Bhattacharya, Sayantan
- Measurement Science and Technology
Uncertainty Quantification in density estimation from Background Oriented Schlieren (BOS) measurements
text, January 2019
- Rajendran, Lalit K.; Zhang, Jiacheng; Bhattacharya, Sayantan
- arXiv
Figures / Tables found in this record: