Skip to main content

Colorimetric Analysis of Images Based on Objective Color Data

  • Conference paper
  • First Online:
Intelligent Systems and Applications (IntelliSys 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1252))

Included in the following conference series:

  • 821 Accesses

Abstract

In this article, issues related to the introduction of the concept of color temperature used in the colorimetric measurements are briefly discussed. An ambiguity of the existing definition of color temperature is stressed. An unambiguous definition of color temperature and the technique of its implementation are suggested. Also, a physical interpretation of the RGB color model is suggested which introduces the carriers of colors - complexes of photons. The thermodynamics of these complexes is studied. This model is used for the color analysis of the optic disc of patients with different degrees of glaucoma. It is shown that the introduced color entropy is characterized by the behavior typical of the entropy of living systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zayko, Y.N.: Physics of color formation. J. Appl. Phys. Sci. Int. 2(4), 137–144 (2015)

    Google Scholar 

  2. Bakutkin, V.V., Gorelov, V.V., Zayko, Y.N.: Statistical analysis of the parameters of the optic disk image. J. Biomed. Photonics Eng. 1(4), 270–273 (2015)

    Article  Google Scholar 

  3. Bakutkin, V.V., Bakutkin, I.V., Zayko, Y.N., Spirin, V.F.: Computer analysis of images of the optic disc in clinical practice. Bull. Orenburg State Univ. 4(153), 27–29 (2013)

    Google Scholar 

  4. Judd, D.B., Wyszecki, G.: Color in Business, Science, and Industry, 2nd edn. .3rd edn. Wiley, New York (1963), (1975)

    Google Scholar 

  5. Domasev, M.V., Gnatyuk, S.P.: Color, Color Management, Color Calculations, and Measurements. Piter, SPb (2009). (Russian)

    Google Scholar 

  6. Bakutkin, V.V., Zayko, Y.N., Lepesko, A.S., Skidanov, A.N.: Developing the system of classification and diagnostics for ophthalmology diseases with the help of artificial neural networks. News Saratov Univ. Ser. Phys. 8(1), 36–41 (2008). Russian

    Google Scholar 

  7. Kuritsky, B.Ya.: The Search for Optimal Solutions Using Excel on Examples, BHV, SPb (1997). (Russian)

    Google Scholar 

  8. Bahvalov, N.S., Zhidkov, N.P., Kobel’kov, G.M.: Numerical Methods. Nauka, M (1987). (Russian)

    Google Scholar 

  9. Moiseev, N.N.: Introduction to the Theory of Optimal Systems. Nauka, M (1975). (Russian)

    Google Scholar 

  10. Nicolis, J.C.: Dynamics of Hierarchical Systems. An Evolutionary Approach. Springer, Heidelberg (1986)

    Book  Google Scholar 

  11. Schrödinger, E.: What is Life—the Physical Aspect of the Living Cell. Cambridge University Press, Cambridge (1944)

    MATH  Google Scholar 

Download references

Acknowledgments

The authors express their thanks to Spirin V.F. for collaboration in the stage of the clinical practice and Gorelov V.V. for painstaking work on data processing. The publication was prepared by the agreement with the Russian Federal Property Fund No. 18-29-02008 “Intelligent Laser System for Eye Surgery”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yuriy N. Zayko .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bakutkin, V.V., Bakutkin, I.V., Zayko, Y.N., Zelenov, V.A. (2021). Colorimetric Analysis of Images Based on Objective Color Data. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol 1252. Springer, Cham. https://doi.org/10.1007/978-3-030-55190-2_33

Download citation

Publish with us

Policies and ethics