Modified parallel-hierarchical transformation algorithm for processing of optical imaging

Leonid Tymchenko; Natalia Kokriatska; Sergii Pavlov; Volodymyr Tverdomed; Ilya Lisovenko; Irina Khomyuk; Natalia Koval; Ainur Ormanbekova; Żaklin Grądz; Ingkar Issakozhayeva

doi:10.1117/12.3054898

16 December 2024 Modified parallel-hierarchical transformation algorithm for processing of optical imaging

Leonid Tymchenko, Natalia Kokriatska, Sergii Pavlov, Volodymyr Tverdomed, Ilya Lisovenko, Irina Khomyuk, Natalia Koval, Ainur Ormanbekova, Żaklin Grądz, Ingkar Issakozhayeva

Author Affiliations +

Proceedings Volume 13400, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024; 134000N (2024) https://doi.org/10.1117/12.3054898
Event: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024, 2024, Lublin, Poland

Abstract

This article presents the implementation of a modified parallel-pyramidal algorithm for the efficient processing and identification of images. The method involves creating a systemic model that supports spatial, temporal, and network data integration, forming a dynamic pyramidal-hierarchical network. The article details the techniques for sorting vectors, G-transformations for modifying vector elements, and the shifting procedure that facilitates efficient data transformation. The described procedures are integrated into the overall data processing sequence, which includes the iterative application of these methods until the final result is achieved.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Leonid Tymchenko, Natalia Kokriatska, Sergii Pavlov, Volodymyr Tverdomed, Ilya Lisovenko, Irina Khomyuk, Natalia Koval, Ainur Ormanbekova, Żaklin Grądz, and Ingkar Issakozhayeva "Modified parallel-hierarchical transformation algorithm for processing of optical imaging", Proc. SPIE 13400, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024, 134000N (16 December 2024); https://doi.org/10.1117/12.3054898

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