Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Maya M. Lyasheva"'
Publikováno v:
Mathematical Methods in Technologies and Technics. :144-147
Publikováno v:
2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
Publikováno v:
Cyber-Physical Systems: Intelligent Models and Algorithms ISBN: 9783030951153
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47bc4f43d748ca45c3dc6e6bf7e30149
https://doi.org/10.1007/978-3-030-95116-0_19
https://doi.org/10.1007/978-3-030-95116-0_19
Publikováno v:
2021 International Russian Automation Conference (RusAutoCon).
The paper describes an approach to constructing image models using discrete wavelet transforms. The models under consideration reflect the importance of pixels in terms of their contribution to the total energy. In this case, each pixel is associated
Publikováno v:
2021 International Russian Automation Conference (RusAutoCon).
The article deals with the issues of detecting state registration numbers of vehicles in images when solving the problem of their identification in intelligent transport systems. The main approaches for solving this problem are described, which belon
Publikováno v:
2021 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).
Currently, many information processing and control systems are based on computer vision technologies. Among the many problems that need to be solved in such systems, it is important to reduce the redundancy of information in the image. To solve this
Publikováno v:
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
The article describes a statistical method for constructing texture features based on an image weight model. The weight model characterizes the pixels of an image in terms of describing its texture. It is a set of weight values that reflect the signi
Publikováno v:
Journal of Physics: Conference Series. 1902:012120
In information processing and control systems based on computer vision technologies, it is necessary to provide an effective indicative representation of images for their subsequent analysis. One of the widely used approaches is based on the construc