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Methodology for Assessing the Colour Quality of Brick Production Based on RGB Images L&E, Vol.30, No.4, 2022

Light & Engineering 30 (4)

Volume 30
Date of publication 08/10/2022
Pages 18–24

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Methodology for Assessing the Colour Quality of Brick Production Based on RGB Images L&E, Vol.30, No.4, 2022
Articles authors:
Michael Yu. Kataev, Eugene Yu. Kartashov, Roman K. Karpov

Michael Yu. Kataev, Doctor of Technical Science. He graduated in 1984 from Tomsk State University as an engineer-researcher in optic. At present, he is a Professor of the Department of Automated Control Systems (ACS) TU-RMS and Professor of Yurginsky Technological Institute (branch) of the Tomsk Polytechnic University (TPU), scientific leadership, and a member of the Earth from Space Monitoring Centre, TUSUR

Eugene Yu. Kartashov, Ph.D. in Tech. Sci., Associate Professor at Department of Machinery and Apparatus for Chemical and Nuclear Production, Seversk Technological Institute, National Research Nuclear University (MEPhI)

Roman K. Karpov, Master student at ACS TUSUR

Abstract:
This article shows one of the applications of computer vision methods in the problem of assessing the quality of the production of ceramic bricks. The tasks of quality assessment include the selection of chips, cracks, scratches, as well as colour changes. The article provides a method of colour difference for assessing the quality of industrial products. Real images of the production process are taken as a basis, for which methods for highlighting bricks have been developed, and for each an assessment of the colour difference from the sample is carried out. The proposed solution to the problem allows you to automate and speed up the process of assessing the quality of brick products in contrast to typical schemes for solving the same problem using visual observation.
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