|
OPTO-IT
Determining the composition of an object based on its hyperspectral image
A. V. Deminab, E. N. Sechakba, S. P. Prisyazhnyukac a ITMO University, 197101, Russia, St. Petersburg, Kronverkskiy prospekt, 49
b JSC "LOMO", 194044, Russia, St. Petersburg, Chugunnaya 20
c CJSC "«Institute of Telecommunications»", 194100, Russia, St. Petersburg, Kantemirovskaya 5
Abstract:
The article presents results of the development and research of a hyperspectral imaging spectrometer for analyzing borehole fluids in real operating conditions in the spectral range from 0.35 microns to 2.1 microns. A mathematical model and an algorithm for identifying the borehole fluid by composition and percentage content based on the results of hyperspectral image analysis are developed.
Keywords:
computer optics, image processing, image analysis, three-dimensional image processing, spectrometer.
Received: 04.02.2020 Accepted: 30.12.2020
Citation:
A. V. Demin, E. N. Sechak, S. P. Prisyazhnyuk, “Determining the composition of an object based on its hyperspectral image”, Computer Optics, 45:3 (2021), 394–398
Linking options:
https://www.mathnet.ru/eng/co922 https://www.mathnet.ru/eng/co/v45/i3/p394
|
Statistics & downloads: |
Abstract page: | 81 | Full-text PDF : | 27 | References: | 13 |
|