Elaboration of pyramidal methods applying computation technique “rough-fine” image identification

Leonid I. Timchenko; Natalia I. Kokriatskaia; Alexander A. Gertsiy; Dmytro S. Stepaniuk; Natalia L. Chernyaschuk; Andrzej Kotyra; Yedilkhan Amirgaliyev

doi:10.1117/12.2537179

6 November 2019 Elaboration of pyramidal methods applying computation technique “rough-fine” image identification

Leonid I. Timchenko, Natalia I. Kokriatskaia, Alexander A. Gertsiy, Dmytro S. Stepaniuk, Natalia L. Chernyaschuk, Andrzej Kotyra, Yedilkhan Amirgaliyev

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Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 111761B (2019) https://doi.org/10.1117/12.2537179
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland

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.

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Leonid I. Timchenko, Natalia I. Kokriatskaia, Alexander A. Gertsiy, Dmytro S. Stepaniuk, Natalia L. Chernyaschuk, Andrzej Kotyra, and Yedilkhan Amirgaliyev "Elaboration of pyramidal methods applying computation technique “rough-fine” image identification", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111761B (6 November 2019); https://doi.org/10.1117/12.2537179

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KEYWORDS

Image segmentation

Chemical elements

Image processing

Binary data

Image analysis

Image classification

Matrices

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