ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
Menu

4
Issue
vol 67 / April, 2024
Article

DOI 10.17586/0021-3454-2023-66-3-210-222

UDC 519.876.5

TESTING OF IR SENSORS USING A REFERENCE THERMAL SIGNAL GENERATOR

E. V. Larkin
Southwest State University, Department of Computer Engineering; Professor


D. V. Titov
Southwest State University, Department of Computer Engineering; Professor


T. A. Akimenko
Tula State University, Department of Robotics and Automation;


T. A. Shirabakina
Southwest State University, Department of Computer Science, Kursk; Professor


Read the full article 

Abstract. Methods for testing IR sensors, which are widely used as a source of information about the environment in various sectors of the national economy, are being investigated. It is shown that due to the transformation of the informative parameters of the observed scene by the sensor, information loss at the output of the device is possible. Conditions are derived under which there is no loss of information, and three general cases of transmission of informative parameters with losses are specified. The structure of the testing system is developed, the main element of which is a patented generator of reference test signals, which makes it possible to evaluate such informative parameters as a thermal signal characteristic, distortion, and resolution. The heat signal characteristic is built as a result of heated plates scanning, statistical processing of measurement data, and approximation of the results of statistical processing by a linear dependence. Distortion is inferred from results of measuring the IR LEDs coordinates in the scene created with the reference test signals generator. The resolution is estimated based on the results of constructing the surface of values of the output signal of the IR sensor when scanning the heat-generating plates. For each case, an appropriate assessment methodology is proposed.
Keywords: infrared sensor, thermal signal generator, informative parameters, information loss, heat signal characteristic, distortion, resolution

References:
  1. Aleev P.M., Ivanov V.P., Ovsyannikov V.A. Osnovy teorii analiza i sinteza vozdushnoy teplovizionnoy apparatury (Fundamentals of the Theory of Analysis and Synthesis of Airborne Thermal Imaging Equipment), Kazan, 2000, 252 р. (in Russ.)
  2. Afonin A.V., Newport R.K. et al. Osnovy infrakrasnoy termografii (Fundamentals of Infrared Thermography), St. Petersburg, 2004, 240 р. (in Russ.)
  3. Bugayenko A.G., Belozerov A.F., Mitryaykin V.I. Opticheskiy vestnik, D.S. Rozhdestvensky Optical Society, 2002, no. 105, pp. 8–11. (in Russ.)
  4. Tarasov V.V., Yakushenkov Yu.G. Infrakrasnyye sistemy "smotryashchego" tipa (Infrared Systems of "Looking" Type), Moscow, 2004, 444 р. (in Russ.)
  5. Ivanov V.P., Kurt V.I., Ovsyannikov V.A., Filippov V.L. Modelirovaniye i otsenka sovremennykh teplovizionnykh priborov (Modeling and Evaluation of Modern Thermal Imaging Devices), Kazan, 2006, 594 р. (in Russ.)
  6. Baloev V.A., Kurt V.I., Shchipunov A.N. Journal of Optical Technology, 2007, no. 3(74), pp. 152–158.
  7. Patent RU 191285, Ustroystvo testirovaniya razresheniya teplovizorov po kontrastu (Device for Testing the Resolution of Thermal Imagers by Contrast), T.A. Akimenko, E.V. Larkin, O.A. Luchansky, E.V. Filippova, Published 01.08.2019, Bulletin 22. (in Russ.)
  8. Akimenko Т.A., Filippova E.V. News of the Tula State University. Technical sciences, 2018, no. 9, pp. 497–500. (in Russ.)
  9. Dvorkovich A.V., Dvorkovich V.P., Makarov D.G., Novinsky N.B., Sokolov A.Yu. 625, 1999, no. 8, pp. 36−42. (in Russ.)
  10. Boiangiu C.A., Dvornic A.I. WSEAS Transactions on Computers, 2008, no. 7(7), pp. 1081–1090.
  11. ISO 12653-1:2000, Electronic imaging - Test target for the black-and-white scanning of office documents. Part 1: Characteristics.
  12. ISO 12653-2:2000, Electronic imaging - Test target for the black-and-white scanning of office documents. Part 2: Method of use.
  13. ISO 12653-3:2014, Electronic imaging - Test target for scanning of office documents. Part 3: Test target for use in lower resolution applications.
  14. Larkin E., Kotov V., Kotova N., Privalov A. 2nd International Ural Conference on Measurements (URALCON), South Ural State University, Chelyabinsk, 2017, pp. 221–226.
  15. Larkin E., Kotov V., Kotova N., Privalov A. 10th International Conference on Machine Vision (ICMV), Proceedings of SPIE, 2018, vol. 10696, article number UNSP 106962N.
  16. Gray R.M. Entropy and Information Theory, Springer, 2011, 409 p.
  17. Jaynes E.T. Probability theory: The logic of science, Cambridge University Press, 2003, 753 p.
  18. Maronna R.M., Victor J., Yohai V.J. Computational Statistics & Data Analysis, 2013, vol. 65, pp. 46–55.
  19. Muler N., Yohai V.J. Computational Statistics & Data Analysis, 2013, vol. 65, pp. 68–79.
  20. Gonzalez R.C., Woods R.E. Digital Image Processing, Prentice Hall, 2002, 1040 p.
  21. Gashnikov M.V., Glumov N.I., Ilyasova N.Yu. et al. Metody komp'yuternoy obrabotki izobrazheniy (Computer Image Processing Methods), Moscow, 2003, 784 р. (in Russ.)
  22. Papoulis A. Systems and transforms with applications in optics, NY,McGraw-Hill Book Co., 1968, 474 p.