Measurement Techniques

, Volume 59, Issue 6, pp 618–622 | Cite as

Colorimetric Gradation in RGB-Space as a Method for Detecting Structural Changes in Ceramic Materials

OPTOPHYSICAL MEASUREMENTS

This work describes the use of the color gradation method for the determination of structural differences in the bulk of a traditional ceramic sample based on the contribution of the R, G, and B components of light and their distributions. The method is based on statistical analysis of R, G, B values corresponding to coordinates of the individual cells, and a reasonable selection of taxa with representative cells with specific characteristics. It is shown that in this case the main color component is red (R), which monitors the state of iron and the degree of completeness of phase transformations in the material during technological processes.

Keywords

colorimetry color RGB-space structural transformations ceramics 

References

  1. 1.
    T. B. Gorshkova, “Ensuring the uniformity of measurements of color characteristics in the food, paint, textile, and other industries,” Izmer. Tekhn., No. 11, 38–39 (2005).Google Scholar
  2. 2.
    O. N. Kanygina and A. G. Chetverikova (eds.), Patent 007190B1 EA, “Non-destructive determination of ceramic structure.”Google Scholar
  3. 3.
    G. N. Maslennikova, N. A. Mikhailova, G. M. Morozova, et al., “Instrumental methods for monitoring color of vitreous enamels,” Glass Ceram., 45, No. 9, 328–333 (1989).CrossRefGoogle Scholar
  4. 4.
    R. A. Platova and Yu. T. Platov, “Biomechanical method of iron removal and its effect on the color characteristics of porcelain stone,” Glass Ceram., 71, Nos. 1–2, 28–34 (2014).CrossRefGoogle Scholar
  5. 5.
    Yu. T. Platov and R. A. Platova, “Instrumental specification of color characteristics of building materials,” Stroit. Mater., No. 4, 66–72 (2013).Google Scholar
  6. 6.
    O. N. Kanygina and A. E. Sorokin, “Using the reflection coefficient for the analysis of silica ceramic structure,” Vest. Kyrgyz.-Russ. Slav. Univ., 2, No. 4, 58–68 (2002).Google Scholar
  7. 7.
    A. V. Luizov, Color and Light, Energoatomizdat, Leningrad (1989).Google Scholar
  8. 8.
    M. D. Fairchild, Color Appearance Models, Rochester Institute of Technology, John Wiley and Sons Ltd., Rochester (2005).Google Scholar
  9. 9.
    I. A. So, “Using data on the color distinction boundaries to measure color differences,” Izmer. Tekhn., No. 2, 21–24 (2012).MathSciNetGoogle Scholar
  10. 10.
    A. G. Chetverikova and V. S. Maryakhina, “Studies of polymineral clay containing three-layered aluminosilicates by physical methods,” Vest. Orenburg. Gos. Univ., No. 1, 250–255 (2015).Google Scholar
  11. 11.
    N. I. Radishevskaya, “Laws of synthesizing colored aluminospinels by the SHS method,” Ogneup. Tekhn. Keram., Nos. 1–2, 20–27 (2012).Google Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Orenburg State UniversityOrenburgRussia

Personalised recommendations