Authors :
Dhruv Hegde; Tejash Gupta; Vikram Haran; Ray Shurdha; William Filocamo; Mason Corey
Volume/Issue :
Volume 9 - 2024, Issue 9 - September
Google Scholar :
https://tinyurl.com/2jrepxpp
Scribd :
https://tinyurl.com/3phjfvh9
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24SEP1183
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This study investigates the influence of
wavelength-specific textured backgrounds on the
effectiveness of Background-Oriented Schlieren (BOS)
imaging, focusing on wavelengths from 400 nm to 670 nm
at intervals of 30 nm intervals and multiple captured
recordings for each background wavelength interval. By
analyzing the signal-to-noise ratio (SNR)
computationally, and the image gradient magnitude, we
aimed to determine the optimal wavelengths for capturing
turbulence and determine the effectiveness of colored
backgrounds in natural external environments for
schlieren. The SNR, calculating the ratio of mean signal
intensity to noise standard deviation, revealed the highest
value at 550 nm (SNR = 22.8), indicating maximized
clarity. Similarly, image gradient magnitude, computed
using the Sobel operator to assess spatial intensity
changes, peaked at 550 nm (G=52.3), confirming effective
turbulence visualization. Our findings align with the
Bayer color filter trend, suggesting that the green
spectrum is particularly advantageous for BOS imaging.
Deviations at 490 nm and 580 nm, characterized by lower
SNR and gradient magnitude, could be attributed to
atmospheric scattering, refractive index overlap, or slight
digital video capture differences., highlighting
environmental factors that can influence imaging
performance and value variation. These insights
emphasize the importance of wavelength selection and
background design in real-world BOS applications,
suggesting that while 550 nm provides optimal results,
further refinement may enhance the effectiveness of other
wavelengths.
References :
- Wang T, Luo D, Lu M, et al. Real-time FPGA Implementation of an Optic Flow Algorithm Suitable for Background Oriented Schlieren Technique. Journal of Physics Conference Series. 2024;2800(1):012028-012028. doi:https://doi.org/10.1088/1742-6596/2800/1/012028
- Alex T. Principles and Techniques of Schlieren Imaging Systems. Academia.edu. Published May 23, 2019. Accessed August 8, 2024. https://www.academia.edu/39242535/PRINCIPLES_AND_TECHNIQUES_OF_SCHLIEREN_IMAGING_SYSTEMS
- Raffel M. Background-oriented Schlieren (BOS) Techniques. Experiments in Fluids. 2015;56(3). doi:https://doi.org/10.1007/s00348-015-1927-5
- Atcheson B, Heidrich W, Ihrke I. An Evaluation of Optical Flow Algorithms for Background Oriented Schlieren Imaging. Experiments in Fluids. 2008;46(3):467-476. doi:https://doi.org/10.1007/s00348-008-0572-7
- Hargather MJ, Settles GS. Natural-background-oriented schlieren imaging. Experiments in Fluids. 2009;48(1):59-68. doi:https://doi.org/10.1007/s00348-009-0709-3
- Settles GS. Schlieren and Shadowgraph Techniques. Google Books. Published 2024. Accessed August 19, 2024. https://books.google.com/books/about/Schlieren_and_Shadowgraph_Techniques.html?id=MB3qCAAAQBAJ
- Toshiharu Mizukaki, Bathel BF, Borg SE, et al. Background-Oriented Schlieren for Large-Scale and High-Speed Aerodynamic Phenomena (Invited). 53rd AIAA Aerospace Sciences Meeting. Published online January 3, 2015. doi:https://doi.org/10.2514/6.2015-1692.
- Heineck JT, Banks DW, Smith NT, Schairer ET, Bean PS, Robillos T. Background-Oriented Schlieren Imaging of Supersonic Aircraft in Flight. AIAA Journal. 2021;59(1):11-21. doi:https://doi.org/10.2514/1.j059495
- Hartberger J. AFIT Scholar AFIT Scholar Theses and Dissertations Student Graduate Works Background-Oriented Schlieren Pattern Optimization Background-Oriented Schlieren Pattern Optimization BACKGROUND-ORIENTED SCHLIEREN PATTERN.; 2011. Accessed August 19, 2024. https://scholar.afit.edu/cgi/viewcontent.cgi?article=2048&context=etd
- Li X, Lei Q, Bao W, Li X, Fan W. Fiber-based high-speed 3D schlieren imaging. Optics Letters. 2023;48(15):4081-4081. doi:https://doi.org/10.1364/ol.496333
- ed ) FM and OF. Optical Measurements: Techniques and Applications, 2nd edn. Measurement Science and Technology. 2002;13(2):229-229. doi:https://doi.org/10.1088/0957-0233/13/2/702
- Schmidt B. Schlieren Visualization Ae 104b.; 2015. https://shepherd.caltech.edu/T5/Ae104/Ae104b_handout2015.pdf
- Jiang, Hanyang & Yang, Fujun & Dai, Xj & He, Xiaoyuan & Peng, Guangjian. (2022). Tri-wavelength simultaneous ESPI for 3D micro-deformation field measurement. Applied Optics. 61. 10.1364/AO.445824.
- Chaloupka JL, Woods M, Aas J, Hutchins J, Thistle JD. Optica Publishing Group. Optica.org. Published 2024. Accessed August 19, 2024. https://opg.optica.org/oe/fulltext.cfm?uri=oe-22-7-8041&id=282355
- RGB. Siliconimaging.com. Published 2024. https://www.siliconimaging.com/RGB%20Bayer.htm
- Cozzi F, Göttlich E. Enhanced Background Oriented Schlieren (EBOS). Journal of Physics: Conference Series. 2019;1249:012017. doi:https://doi.org/10.1088/1742-6596/1249/1/012017
- Mier FA, Hargather MJ. Color Gradient background-oriented Schlieren Imaging. Experiments in Fluids. 2016;57(6). doi:https://doi.org/10.1007/s00348-016-2183-
This study investigates the influence of
wavelength-specific textured backgrounds on the
effectiveness of Background-Oriented Schlieren (BOS)
imaging, focusing on wavelengths from 400 nm to 670 nm
at intervals of 30 nm intervals and multiple captured
recordings for each background wavelength interval. By
analyzing the signal-to-noise ratio (SNR)
computationally, and the image gradient magnitude, we
aimed to determine the optimal wavelengths for capturing
turbulence and determine the effectiveness of colored
backgrounds in natural external environments for
schlieren. The SNR, calculating the ratio of mean signal
intensity to noise standard deviation, revealed the highest
value at 550 nm (SNR = 22.8), indicating maximized
clarity. Similarly, image gradient magnitude, computed
using the Sobel operator to assess spatial intensity
changes, peaked at 550 nm (G=52.3), confirming effective
turbulence visualization. Our findings align with the
Bayer color filter trend, suggesting that the green
spectrum is particularly advantageous for BOS imaging.
Deviations at 490 nm and 580 nm, characterized by lower
SNR and gradient magnitude, could be attributed to
atmospheric scattering, refractive index overlap, or slight
digital video capture differences., highlighting
environmental factors that can influence imaging
performance and value variation. These insights
emphasize the importance of wavelength selection and
background design in real-world BOS applications,
suggesting that while 550 nm provides optimal results,
further refinement may enhance the effectiveness of other
wavelengths.