Method for Calculating Detection Probability of Objects Images by a Human

The article presents the results of research on the development of a method for calculating detection probability of noisy objects images by a human. The proposed calculation method are based on the visual system models, which take into account the features of images pre-processing carried out in the human eyes, as well as at the stages of primary and secondary processing performed in the visual cortex of the brain. Currently two approaches for describing these stages of visual image processing are known. They are based on single-channel and multi-channel models, the mathematical description of which is given in the article. Based on theoretical and experimental studies it is shown that a single-channel model is more appropriate for quantitative evaluation of human detection of binary objects images and a multi-channel model is more appropriate for detection of halftone objects images.