Open AccessAssessment of Construction Materials Trends Salt Content from Scanned Images
Author(s) -
Viktor Afonin,
T. F. Yelchischeva,
D A Svetlov,
Marina M. Zotkina,
I. V. Erofeeva,
D. V. Emelyanov
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1079/5/052068
Subject(s) - brightness , relative humidity , sample (material) , rgb color model , salt (chemistry) , environmental science , mathematics , materials science , artificial intelligence , optics , computer science , chemistry , geography , physics , chromatography , meteorology
Composite building materials subjected to such operational influences as high humidity and temperature have been investigated. As a result of the experiments carried out within 45 days of the samples, their scanned images were obtained, which were represented by RGB color models and processed in order to identify changes in their color properties. Samples of materials are ranked by revealing a tendency to salt formation on their surface. Depending on the change in the brightness of the samples during their exposure, the images of the samples are divided into two groups, one of which contains images that at the last exposure area have a higher level of brightness relative to the control sample, approaching white. The second group is characterized by lower brightness values also relative to the control sample. As a result, samples are identified, the images of which have a noticeable tendency to salt formation, which is controlled by the level of white brightness.