APPROACH TO THE TEMPERATURE AND HUMIDITY RELATIONSHIP OF THE TAILING MATERIAL ON THE BASIS OF THE PROCESSING OF DIGITAL PICTURES AND COLOR MODELS

Abstract

The result of determining the quantitative relationship between the temperature and humidity of enrichment waste materials based on the analysis of digital photographs of laboratory experiments using RGB and Lab methods is presented. Using standard equipment, a laboratory experiment was performed to determine the temperature and humidity of samples of the tailing dam surface layer. Digital photographs of the samples were taken in natural light. The images were processed on a computer to obtain the components values of two color models � RGB and Lab. As a "zero" approximation, the simplest analytical dependence (linear) of temperature on humidity (and vice versa) was studied. The coefficients of calculated linear dependences are compared with the corresponding coefficients of direct processing of experimental data. Indexes and colors of reference pattern are recommended when processing similar laboratory experiments and field studies directly on the dusting object. It was shown that the minimum deviations for the dependences of temperature on humidity correspond to the redness index in the RGB method and the black reference pattern in the Lab method. The minimum deviations for the dependence of humidity on temperature correspond to the saturation index in the RGB method and the black reference pattern in the Lab method.