Computer vision as a scientific discipline refers to the theories and technologies for creating artificial systems that receive information from an image. Despite the fact that this discipline is quite young, its results have penetrated almost all areas of life. Computer vision is closely related to other practical areas like image processing, the input of which is two-dimensional images obtained from a camera or artificially created. This form of image transformation is aimed at noise suppression, filtering, color correction and image analysis, which allows you to directly obtain specific information from the processed image. This information may include searching for objects, feature points, segments, etc.;
REFERENCES
1.
Carl
de Boor
. A practical Guide to splines. Department of computer science University of Wisconsin
– Madison, Madison,
USA
, 2001
.2.
Ren-Hong
Wang
. Multivariate spline functions and their applications
. Kuliver
Academic Press, Netherlands
, 2001
.3.
Rakhimov
B.S.
, Allabeganov
O. R.
, Saidov
A.B.
PROCESSOR MEANS FOR THE SPECTRAL ANALYSIS OF MEDICAL SIGNALS ON THE OF POLYNOMIAL WALSH BASES EPRA
International Journal of Research and Development (IJRD)
Volume: 5
| Issue: 7
| July 2020
pp.10
–11
.4.
Rakhimov
B.S.
, Ismoilov
O.I.
, Ozodov R.O.
Russian
. “Software and automation of forensic examination” METHODS OF SCIENCE
Scientific and practical journal
№11
/ 2017
pp. 28
–30
5.
Rakhimov B.S.
Russian
“Information technologies in medical education” METHODS OF SCIENCE
Scientific and practical journal
№12
/ 2017
pp. 25
–27
6.
U.
Pen
, Application of Wavelets to Filtering of Noisy Data. In Wavelets: the Key to Intermittent Information?
— Oxford University Press
, 2000
.7.
8.
Gergel
V.P.
Theory and practice of parallel computing
/ V.P.
Gergel
// http://www.intuit.ru/department/calculate/paralltp/9.
Tanenbaum
E.
Modern operating systems
. 2nd ed
. - SPb.: Peter, 2002
, pp.1040
.: ill.10.
NVIDIA GeForce GRX 200 GPU Architectural Overview. Technical Brief // http://www.nvidia.com/docs/IO/55506/GeForce_GTX_200_GPU_Technical_Brief.pdf
11.
Zaynidinov
, H. N.
, Mallaev
, O. U.
, & Anvarjonov
, B. B.
(2020
). A parallel algorithm for finding the human face in the image
. IOP Conference Series: Materials Science and Engineering,
862
, 052004
. 12.
Zayniddinov
, H. N.
, & Mallayev
, O. U.
(2019
). Paralleling of calculations and vectorization of processes in digital treatment of seismic signals by cubic spline
. In IOP Conference Series: Materials Science and Engineering
(Vol. 537
). Institute of Physics Publishing
. 13.
Xakimjon, Z., & Oybek, M. (
2019
). Definition of synchronization processes during parallel signal processing in multicore processors
. In International Conference on Information Science and Communications Technologies: Applications, Trends and Opportunities, ICISCT 2019
. Institute of Electrical and Electronics Engineers Inc
.
This content is only available via PDF.
©2023 Authors. Published by AIP Publishing.
2023
Author(s)
You do not currently have access to this content.
