Method calculating of uncertainty in evaluating the detailing coeffi cients of wavelet-conversion of profi le brightness image

Abstract

The analysis of the relevance of the use of measurement methods based on obtaining visual data. The main problems that arise in automated image analysis systems in calculating the uncertainty of estimates of quantitative characteristics of images are identifi ed. Since modern methods of collecting and transforming visual data are characterized by great diversity, at the moment there are no general recommendations for calculating the uncertainty of estimates of their geometric and brightness parameters. The article is devoted to the development of a method for calculating uncertainty in evaluating the detailed coeffi cients of the wavelet transform, which is used in the automated analysis of images of gas-discharge radiation of water. The method based on recording gas-discharge radiation of water samples in an external pulsed electromagnetic fi eld was chosen to study the biological properties of water, since the formation of a gas discharge in the air gap between conductors directly depends on the presence of free charge carriers that can be simulated from the surface of the object under study. The number of free charge carriers determines the biological properties of water, since they affect the ability of drinking water to provide metabolic processes in living organisms by maintaining the normal course of redox reactions at the cellular level. To assess the biological properties of water and highlight the corresponding informative features of gas-discharge images, it is proposed to use the method of one-dimensional wavelet transform of the brightness profi le. A method for calculating the uncertainty in evaluating the detailed coeffi cients of the wavelet transform is considered. The proposed method for calculating the uncertainty is based on the results of repeated observations and allows us to estimate the uncertainty of the measurement results presented in the form of quantitative signs of images.