Methods for assessing the colour (quality) of manufactured products, as a rule, are aimed at analysing the data obtained by colorimeters or spectrometers for the objects under study. The problematic side of such measurements is the small area of the object affected by the measurements. The introduction to the practice of evaluating the colour of the produced image products makes it possible to evaluate the colour of the entire object, while leaving the traditional measurement methods for verifying the obtained colour characteristics from the image. The typical colour space for images is RGB, and for colorimeters LAB. Naturally, when applying the image method, it becomes necessary to convert from the RGB to LAB colour space in order to obtain colour indicators that can be compared with colorimeters. The article provides a description of the obtained colour characteristics when assessing the quality of brick products.
1. Strategy for the development of the construction industry and housing and communal services of the Russian Federation until 2030 with a forecast for the period up to 2035 [Strategiya razvitiya stroitel’noy otrasli i zhilishchno-kommunal’nogo khozyaystva Rossiyskoy Federatsii do 2030 goda s prognozom na period do 2035 goda] / M.: Minstroy RF, 2019. 82 p.
2. Ananiev, A.I., Lobov, O.I. Ceramic brick and its place in the construction of modern buildings [Keramicheskiy kirpich i yego mesto v stroitel’stve sovremennykh zdaniy] / Design and construction in Siberia, 2013, 241 p.
3. GOST 530–2012: Brick and ceramic stone. General specifications / M.: VNIISTROM “Scientific Centre of Ceramics”, 2013, 49 p.
4. Shapiro, L., Stockman, J. Computer vision, 2nd ed. (el.) / M.: BINOM. Knowledge Laboratory, 2013, 752 p. 5. Meshkov, V.V. Fundamentals of lighting engineering: Part 1 / Moscow, Energy, 1979, 368 p.
6. Meshkov, V.V., Matveev, A.B. Fundamentals of lighting engineering: Part 2. Physiological optics and colourimetry / Moscow, Energoatomizdat, 1989, 432 p.
7. Kataev, M. Yu., Karpov, R.K., Laminsky, K.A. Software system for detecting brick defects based on computer vision methods // Doklady TUSUR, 2021, Vol. 24, No. 1, pp. 62–67.
8. Shakhrova, M.M. Colour photograph / Kyiv: “Vyscha school”, 1988, 231 p.
9. Vizilter, Yu.V., Zheltov, S. Yu., Bondarenko, A.V. Processing and analysis of images in tasks of machine vision / M.: Fizmatkniga, 2010, 672 p.
10. Pons, J. Computer vision. Modern approach / M.: ID Williams, 2004, 465 p.
11. Colour in industry / Ed. R. McDonald / M.: Logos, 2002, 596 p.
12. Sulla, S., Shishkin, M.I. Practice of colour measurement // World of measurements, 2003, # 8, pp. 27–34.
13. Ezersky, V.A. Quantitative assessment of the colour of ceramic face products / Building materials, 2015, # 8, pp. 76–80.
14. GOST R 52489–2005 Colourimetry. Part 1. Basic provisions / M.: Publishing house of standards, 2005.
15. Yustova, E.N. Colour measurements (Colourimetry) / St. Petersburg: Publishing House of St. Petersburg. Univ., 2000, 397 p.
16. Jiang, J., Liu, D., Gu, J., Susstrunk, S. What is the space of spectral sensitivity functions for digital colour cameras? // In Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision (WACV), Clearwater Beach, FL, USA, 15–17 January 2013, pp. 4321–4328.
17. Gorbacheva, M.M., Efankina, A.N. Rationing of colour difference using instrumental and visual assessments // Lakokrasochnye materialy i ikh primenenie, 1987, # 3, pp. 36–38.
18. GOST R 52662–2006 Colourimetry. Part 2. Colour measurement / M.: Publishing house of standards, 2006.
19. Non-destructive testing and diagnostics: reference book / V.V. Klyuev, F.R. Sosnin, A.V. Kovalev et al.; ed. V.V. Klyuev / M.: Mashinostroenie, 2005, 656 p.

• Previous article
• Next article

• colour
• image
• RGB colour space
• CIELAB colour space
• brick products
• quality