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Tereshchenko A.I., Novikov A.N., Gribova E.V., Kosolapov R.K. Application of digital analysis based on an additive three-component color model for assessing changes in color perception of textile fabrics under different light sources. Journal of Clothing Science. 2025; 10(4). Available at: https://kostumologiya.ru/PDF/26TLKL425.pdf (in Russian).

Application of digital analysis based on an additive three-component color model for assessing changes in color perception of textile fabrics under different light sources

Tereshchenko Anastasiia Igorevna
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: tereshchenko-ai@rguk.ru

Novikov Aleksandr Nikolaevich
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: novikov-an@rguk.ru
RSCI: https://elibrary.ru/author_profile.asp?id=745051

Gribova Evgeniia Vladimirovna
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: gribova-ev@rguk.ru
RSCI: https://elibrary.ru/author_profile.asp?id=1105645

Kosolapov Roman Konstantinovich
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: kosolapov-rk@rguk.ru
RSCI: https://elibrary.ru/author_profile.asp?id=1274885

Abstract. The article examines the results of the influence of the light source on the color perception of textile materials obtained through the use of a laboratory setup for evaluating visual characteristics and subsequent software-based processing. The research results are presented in the form of images that reflect the color perception of the textile material depending on the light source, which serves as the basis for deriving the averaged color of the tested material. The developed software processes the original images followed by the determination of the averaged color value of the fabric, including the absolute values of each channel and their percentage contribution to the overall color composition. The results are presented using the parameters of an additive three-component color model, including the absolute values of each channel and their percentage contribution to the overall color composition, which ensures accurate quantitative and visual interpretation of the dominant color hue of the analyzed image. The obtained data make it possible to promptly record and analyze changes in the color of the textile fabric based on the construction of mathematical dependency graphs. The main principles of digital image processing of sample materials are identified, contributing to the optimization of color perception assessment processes. The conducted study serves as the foundation for an algorithm of data acquisition and analysis obtained through the use of the setup for evaluating the influence of light sources on the color perception of textile fabrics. Modeling the color characteristics of textile materials using the parameters of an additive three-component color model has wide practical application both in industrial conditions for preliminary evaluation and quality control and in the design of textile products by designers.

Keywords: textile production; color; textile color perception; innovations; modeling method; color models; automation

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