Zobrazeno 1 - 10
of 22
pro vyhledávání: '"D. M. Murashov"'
Autor:
D. M. Murashov, V. N. Beloozerov
Publikováno v:
Informaciâ i Innovacii, Vol 15, Iss 3, Pp 50-56 (2020)
Classifications of methods for analyzing the structure of painting canvas, and fabrics in the textile industry are constructed within the framework of the ontology for the subject area of attribution and restoration of paintings. The limited variety
Externí odkaz:
https://doaj.org/article/f4d3cb25c47343c08cd168d110fddfea
Autor:
D. M. Murashov
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 58:457-464
Autor:
D. M. Murashov
Publikováno v:
Pattern Recognition and Image Analysis. 32:600-606
Autor:
D. M. Murashov
Publikováno v:
Pattern Recognition and Image Analysis. 31:632-645
Publikováno v:
Компьютерная оптика, Vol 45, Iss 2, Pp 301-305 (2021)
One of the problems solved by analyzing the data of long-term Video EEG monitoring is the differentiation of epileptic and artifact events. For this, not only multichannel EEG signals are used, but also video data analysis, since traditional methods
Autor:
D. M. Murashov
Publikováno v:
2020 International Conference on Information Technology and Nanotechnology (ITNT).
This paper is devoted to the study of the information-theoretical approach to the problem of image segmentation quality. We consider a system that includes a segmentation algorithm with a parameter on which the number of segments depends, and a proce
Publikováno v:
Journal of Biomedical Photonics & Engineering. 7:030301
Autor:
D. M. Murashov
Publikováno v:
Procedia Engineering. 201:239-248
A problem of image segmentation quality is considered. The problem is viewed as selecting the best segmentation from a set of images generated by segmentation algorithm at different parameter values. A segmentation quality model for selecting the bes
Publikováno v:
Proceedings of the V International conference Information Technology and Nanotechnology 2019.
In this paper, a technique for automated detecting diagnostic events in the video channel of video and electroencephalographic monitoring data is presented. The technique is based on the analysis of the quantitative features of facial expressions in
Feature description of informative fragments in the problem of computerized attribution of paintings
Autor:
D. M. Murashov
Publikováno v:
Pattern Recognition and Image Analysis. 25:692-704
Problems of composing a feature description and developing a comparison procedure for the images of paintings in attribution are considered. A feature description of a facture of paintings based on the characteristics of a grayscale image relief and