Can the corrosion-penetration depth into a metal be estimated from an image of the corroded surface?

Publication in Journal of Optical Technology

For Russian citation (Opticheskii Zhurnal):

Пронин С.П., Умбетов С.В. Исследование возможности оценки глубины проникновения коррозии в металл по изображению корродированной поверхности // Оптический журнал. 2022. Т. 89. № 1. С. 63–73. http://doi.org/10.17586/1023-5086-2022-89-01-63-73

Pronin S.P., Umbetov S.V. Can the corrosion-penetration depth into a metal be estimated from an image of the corroded surface? [in Russian] // Opticheskii Zhurnal. 2022. V. 89. № 1. P. 63–73. http://doi.org/10.17586/1023-5086-2022-89-01-63-73

For citation (Journal of Optical Technology):

S. P. Pronin and S. V. Umbetov, "Can the corrosion-penetration depth into a metal be estimated from an image of the corroded surface?," Journal of Optical Technology. 89(1), 44-51 (2022). https://doi.org/10.1364/JOT.89.000044

Abstract:

This paper presents experimental studies of the penetration of corrosion into the metallic surface of laboratory samples of St3 steel. The results of laboratory studies of the possibility of estimating the corrosion-penetration depth into the metal are presented, using the proportions of the color components in a digital image of the corroded surface, and it is established how the variation of the corrosion-penetration depth into the metal depends on the median contrasts in a digital image of a corroded surface. The factors that affect the radiance variation of the RGB components in an image of a corroded surface are theoretically analyzed.

Keywords:

steel corrosion, corroded surface, histogram, contrast, corrosion penetration depth

OCIS codes: 100.0100, 120.0120

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