Abstract
The text represents a research study in the field of image analysis. Describes a research in which the work of František Kupka was used as input image information in an experiment involving an original method of image analysis using the function of information entropy (Rényi entropy).
The design of the experiment included not only the computation of image information entropy, but also human imaging and comparing by regression analysis, and was designed as a pilot survey focused on the relationship between human perception, machine learning, and natural and simulated complexity. At the same time, it points to the current state of the research field of machine vision, its increasing opacity and the need to better grasp it theoretically and practically.