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Proceedings Paper

Elaboration of pyramidal methods applying computation technique “rough-fine” image identification
Author(s): Leonid I. Timchenko; Natalia I. Kokriatskaia; Alexander A. Gertsiy; Dmytro S. Stepaniuk; Natalia L. Chernyaschuk; Andrzej Kotyra; Yedilkhan Amirgaliyev
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Paper Abstract

One of the aims of the given research is realization of one of possible variants of the solution of the problem of efficient integration of high-level information in low-level image presentation. The result of this integration is high efficiency of recognition. The advantage of such recognition is compact description of object image that considers reduced size of database and more fast-acting realization of processing. For solution of above-mentioned problems, the creation of common methodological basis for synthesis of simple computational algorithm of image preprocessing with their segmentation and formalized procedures of separate parts description with high adaptive ability on the basis of the ideas of algebraic approach to recognition problems is very actual.

Paper Details

Date Published: 6 November 2019
PDF: 8 pages
Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111761B (6 November 2019); doi: 10.1117/12.2537179
Show Author Affiliations
Leonid I. Timchenko, State Univ. of Infrastructure and Technologies (Ukraine)
Natalia I. Kokriatskaia, State Univ. of Infrastructure and Technologies (Ukraine)
Alexander A. Gertsiy, State Univ. of Infrastructure and Technologies (Ukraine)
Dmytro S. Stepaniuk, State Univ. of Infrastructure and Technologies (Ukraine)
Natalia L. Chernyaschuk, Lutsk National Technical Univ. (Ukraine)
Andrzej Kotyra, Lublin Univ. of Technology (Poland)
Yedilkhan Amirgaliyev, Institute of Information and Computational Technologies (Kazakhstan)


Published in SPIE Proceedings Vol. 11176:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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