Comparative analysis of the methods for remote mapping the whiteness over the object surface

Machikhin, A.S., Belyaeva, A.S., Zolotukhina A.А.

For Russian citation (Opticheskii Zhurnal):

Мачихин А.С., Беляева А.С., Золотухина А.А. Сравнительный анализ методов дистанционного определения распределения белизны по поверхности объектов // Оптический журнал. 2024. Т. 91. № 12. С. 54–62. http://doi.org/10.17586/1023-5086-2024-91-12-54-62

Machikhin A.S., Belyaeva A.S., Zolotukhina A.A. Comparative analysis of the methods for remote mapping the whiteness over the object surface [in Russian] // Opticheskii Zhurnal. 2024. V. 91. № 12. P. 54–62. http://doi.org/10.17586/1023-5086-2024-91-12-54-62

For citation (Journal of Optical Technology):

Abstract:

Subject of study is brightness and color characteristics of 10 whiteness standards. The purpose of this work is to develop a methodology for determining the spatial distribution of whiteness over the surface of objects using various optical instruments (spectrophotometry, color, multispectral and hyperspectral photography) and to identify the optimal system in terms of error and speed of measurement of whiteness. Methods. The accuracy of determining the whiteness and color of reference objects using various noncontact methods was analyzed. Main results. The laboratory study shows that multispectral imaging is the optimal method for remote whiteness and color mapping, in terms of measurement error and speed. Practical significance. The results obtained allow to compare the main optical methods for determining whiteness (brightness and hue) and determine the optimal one for solving a specific problem. The results obtained can be used in the development of methods for product quality control in various industries and various scientific research.

Keywords:

whiteness, brightness, chromaticity coordinates, multispectral imaging, hyperspectral imaging, spectral analysis, colorimetry

Acknowledgements:

the research was carried out with the financial support of Ministry of Science and Higher Education of the Russian Federation within the state assignment of Scientific and Technological Centre of Unique Instrumentation of RAS (FFNS 2022 0010). This work was obtained using the equipment of the Core Shared Research Facility of Scientific and Technological Centre of Unique Instrumentation of RAS (STC UI RAS) [ckp-rf.ru ID: 456451, https://ckp.ntcup.ru/]. The authors express their gratitude to Constanta LLC for providing a set of reference whiteness samples

OCIS codes: 330.1730, 110.4234, 120.6200

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