PREFERENCE AGGREGATION WHEN CHOOSING A COLOR SPACE FOR DIGITAL COLORIMETRIC ANALYSIS OF SUBSTANCES COMPOSITION

Известия Томского политехнического университета: Инжиниринг георесурсов

Sergey V. Muravyov¹  Ekaterina Y. Emelyanova¹  Anna S. Spiridonova¹ 

[1] National Research Tomsk Polytechnic University;

关键词: digital color analysis;    preference aggregation;    standard color model;    calibration dependency;    colorimetric scale;   

DOI  :  10.18799/24131830/2020/8/2778

来源: DOAJ

【 摘 要 】

The relevance of the research is caused by the fact that when quantifying the composition of substances, digital colorimetric analysis is becoming increasingly popular. This is an optical analytical method in which the primary measuring transducer is an optode obtained from reagents immobilized into a solid-state matrix. When interacting with determined component in the sample, the optode changes its color; the optode's color intensity is proportional to the determined component amount. The analytical signal obtained in this way must be digitized and presented in one of the existing color spaces to form the value of the measured value. In the available literature there are no reasonable recommendations that would allow a systematic selection of the most suitable color space (model) for specific requirements. The main aim of the research is to contribute to solving the problem of choosing such a color model for organizing the digital colorimetric analysis, which for a given set of analytes provides the best values ​​of the characteristics of the calibration dependences of analytical signals constructed for them. Objects of the research are the standard color models RGB, HSL, XYZ and L*a*b* commonly used in the digital description of color. Heavy metals were used as determinants: silver, copper, iron, cobalt, chromium, nickel and the sum of heavy metals. Methods. The preference aggregation method is proposed and experimentally justified for choosing a standard space (model) of color representation that provides carrying out the digital colorimetric analysis with the best values ​​of the characteristics set of the calibration dependencies for the obtained analytical signals. Results. The proposed method allows choosing a standard color model that is best suited for conducting the digital colorimetric analysis of substances composition. This, in its turn, enhances the reliability of the digital colorimetric analysis.

【 授权许可】

Unknown