Abstract
The article presents the results of a study of the contour analysis algorithm developed by the authors for automatic recognition of objects in an image with their subsequent modeling in virtual simulators for training human-computer systems operators. The main distinctive feature of the developed contour analysis algorithm is the use of image convolution in four directions and the tracing procedure, which makes it possible to more accurately search for the contour of objects compared to other algorithms of this type. The results of the study of the algorithm are given. Based on this study, recommendations on the choice of the parameters of the algorithm are given. As a result of the analysis of three-dimensional modeling methods, it was concluded that for the effective implementation of three-dimensional graphics in virtual simulators for training human-machine system operators, it is advisable to use an algorithm for contour image analysis of external objects.
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