| Issue |
E3S Web Conf.
Volume 310, 2021
Annual International Scientific Conference “Spatial Data: Science, Research and Technology 2021”
|
|
|---|---|---|
| Article Number | 01002 | |
| Number of page(s) | 8 | |
| Section | Photonics. Optical and Electronic Devices, Systems and Complexes | |
| DOI | https://doi.org/10.1051/e3sconf/202131001002 | |
| Published online | 15 October 2021 | |
Application of Zernike moments in computer vision problems for infrared images
Moscow State University of Geodesy and Cartography, Moscow, Russia
* Corresponding author: odvk@ya.ru
The efficiency of using Zernike moments when working with digital images obtained in the infrared region of the spectrum is considered to improve the accuracy and speed of an autonomous thermal imaging system. The theoretical justification of the choice of Zernike moments for solving computer (machine) vision problems and the choice of a suitable threshold binarization method is given. In order to verify the adequacy and expediency of using the chosen method, practical studies were conducted on the use of Zernike methods for distorting various thermal images in shades of gray.
Key words: Zernike polynomials / pattern recognition / thermal imaging systems / binarization.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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