Models of visual information processing systems

Abstract

The article shows the importance of solving various production problems using processing, analysis and display of visual information. The existing systems for processing visual information are considered and the insufficiently developed use of automated image processing systems in production systems that solve rather complex and “intelligent” problems of image analysis is noted. The prospects of using digital modeling of object images are shown. The article provides a literary review of works on the development of methods and models for effective processing of visual control information, which showed that there are many unresolved issues. This work is aimed at solving some of them. The relevance of the topic and the objectives of the research are determined. Based on the results of the studies performed, a model of the visual information processing system was developed. From the object under study, a video stream arrives at the input of the model of the visual information processing system, which is first selected as a sequence of frames (frames) of a fixed dimension. Then there is a preliminary processing of the information received from the object, its segmentation, extraction of features and decision making. Here, the traditional number of homogeneous segments can be applied, into which the object is divided using the principle of maximum posterior probability. The result obtained is then used in the adaptation block. The proposed model of the visual information processing system was implemented in the Qt Creator environment in C ++.