Some features of creating a computer vision system

Authors

  • Volodymyr Petrivskyi

DOI:

https://doi.org/10.31713/MCIT.2021.22

Keywords:

computer vision, objects identification, neural networks, differential equations systems, principal component analysis

Abstract

In the paper some features of models and algorithms of computer vision are presented. An algorithm for training the neural network of object recognition is proposed and described. The peculiarity of the proposed approach is the parallel training of networks with the subsequent selection of the most accurate. The presented results of experiments confirm the effectiveness of the proposed approach.

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Published

2021-11-21

How to Cite

Petrivskyi, V. (2021). Some features of creating a computer vision system. Modeling, Control and Information Technologies, (5), 72–74. https://doi.org/10.31713/MCIT.2021.22

Issue

No. 5 (2021): Modeling, control and information technologies

Section

index

License

Copyright (c) 2021 Modeling, Control and Information Technologies: Proceedings of International scientific and practical conference

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All materials are distributed under the terms of the Creative Commons Attribution 4.0 International License, which allows others to distribute the work with attribution to the authorship of this work and the first publication in this journal.