INFORMATION TECHNOLOGIES
DIGITAL METHODS OF EXPRESS-DIAGNOSTICS QUALITY OF SUBSTANCES OF DIFFERENT PHYSICOCHEMICAL NATURE (a generalization of our results)
Valery A. Tkal', Inga A. Zhukovskaya, Anna V. Sharaeva, Nadezhda N. Vodolazova
Branch of St. Petersburg state economic University in Veliky Novgorod, http://www.finec-nv.ru
173000, Veliky Novgorod, Russian Federation
Valery.Tkal@yandex.ru, ingaleks@mail.ru, asharaeva.mail.ru, vodolazovanadezhda@nail.ru
Received 20.03.2016
Abstract. The present work offers the methods of express diagnostics of quality of substances of different physicochemical nature, recording their color and its changes under influence of various external factors, based on digital image processing. The object of digital processing is digitized using professional flatbed scanners and digital image apparatuses of the investigated substances. Quality assessment of substances and registration of it changes based on building of differential contrast (zero and not zero), the luminance characteristics of intensity profiles, areas of equal contrast and the decomposition of the digitized image by color channels, which allows to quantify the quality and the change of the diagnosed objects, and reduces the subjective factor due to their visual perception. No visually perceive changes in the material are easily registered by the digitizers. Zero differential contrast corresponds to identical images and there is no influence of the investigated factor on this substance. The developed method of quality assessment, registration, changes, research, and visualizations taking place in the substance of the processes, detection of counterfeit products, as comparing with efficiency of different methods, wavelet bases, etc., is easy to implement, has the immediacy, accessibility and tested in the diagnosis of substances of different physicochemical nature.
Keywords: substances, diagnostics, digital processing, wavelet analysis, single crystal, image, technique, express analysis, quantitative criteria, color, difference contrast, brightness feature, intensity profile, region of equal contrast, visualization
UDC 004.932
Bibliography – 28 references
RENSIT, 2016, 8(1):55-72
DOI: 10.17725/rensit.2016.08.055
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