Investigating the Influence of Wavelength-Specific Textured Backgrounds in Background Oriented Schlieren (BOS) Imaging


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 :

  1. 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
  2. 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
  3. Raffel M. Background-oriented Schlieren (BOS) Techniques. Experiments in Fluids. 2015;56(3). doi:https://doi.org/10.1007/s00348-015-1927-5
  4. 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
  5. 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
  6. 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
  7. 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.
  8. 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
  9. 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
  10. 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
  11. 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
  12. Schmidt B. Schlieren Visualization Ae 104b.; 2015. https://shepherd.caltech.edu/T5/Ae104/Ae104b_handout2015.pdf
  13. 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.
  14. 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
  15. RGB. Siliconimaging.com. Published 2024. https://www.siliconimaging.com/RGB%20Bayer.htm
  16. 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
  17. 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.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe