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Journal of Optical Technology

Journal of Optical Technology


  • Vol. 79, Iss. 2 — Feb. 1, 2012
  • pp: 88–91

Using cameras with optical converter arrays in photometry

V. A. Andriychuk and Ya. M. Osadtsa  »View Author Affiliations

Journal of Optical Technology, Vol. 79, Issue 2, pp. 88-91 (2012)

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This paper describes a mathematical model of the emitting-surface–camera system. A technique has been developed for calibrating optical-converter arrays and cameras based on them. Software has been created for calculating the illuminance and luminance of a surface over the resulting image. The luminance and illuminance distribution over a luminous surface have been measured and compared with the standard parameters.

© 2012 OSA

Original Manuscript: May 16, 2011
Published: February 29, 2012

V. A. Andriychuk and Ya. M. Osadtsa, "Using cameras with optical converter arrays in photometry," J. Opt. Technol. 79, 88-91 (2012)

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  1. S. Vol’f, E. Stefanov, and M. Riman, “Measuring luminance by means of a CCD camera,” Svetotekhnika No. 8, 8 (1995).
  2. F. Shmidt, “Dynamic method of measuring luminances on roads and in tunnels,” Svetotekhnika No. 3, 13 (2005).
  3. Sh. Vol’f, U. Kryuger, and F. Shmidt, “Using high resolution in light and color measurements,” Svetotekhnika No. 5, 57 (2005).
  4. T. L. Flodina and A. Sh. Chernyak, “Measurements of the illumination engineering parameters of apparatus of external illumination by means of a mobile laboratory,” Svetotekhnika No. 1, 20 (2007).
  5. I.˘ Nakamura, V. Simazaki, and T. Khasimoto, “Method of estimating the glare of illumination facilities of arbitrary sizes from their luminance image,” Svetotekhnika No. 1, 49 (2008).
  6. L. Guo, L. Khalonen, A. Ékrias, and M. Élokholma, “Intelligent control of road lighting under various threshold conditions,” Svetotekhnika No. 2, 54 (2008).
  7. P. Bulengez, S. Kare, M. Perrodo, and B. Piranda, “New method of near-field photometry,” Svetotekhnika No. 2, 34 (2008).
  8. M. M. Gurevich, Photometry (Theory, Methods, and Devices) (Énergoatomizdat, Leningrad, 1983).
  9. V. V. Meshkov, Principles of Illumination Engineering: A Handbook for Colleges (Énergiya, Moscow, 1979).
  10. B. Jahne, Practical Handbook on Image Processing for Scientific and Technical Applications (University of Heidelberg, 2004).
  11. R. C. Gonzalez, R. E. Woods, and S. L. Eddins, Digital Image Processing using MATLAB (Prentice Hall, Upper Saddle River, NJ, 2004; Tekhnosfera, Moscow, 2006).
  12. A. Ignatenko, “Where does the formula Y=0.3R+0.59G+0.11B for converting from an RGB image to a black-and-white (monochromatic) image come from?” Komp. Graf. Mul’timedia. Setev. Zh. 10/7/2010. Access http://cgm.computergraphics.ru/node/2203.

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