Modelling a modified parallel-hierarchical transformation algorithm for laser beam image processing

Leonid Tymchenko; Natalia Kokriatska; Volodymyr Tverdomed; Anatolii Horban; Oleksandr Kaduk; Volodymyr Bogachuk; Aisha Mussabekova; Oleksandr Sobovyі; Ilya Lisovenko; Orken Mamyrbayev; Andrzej Smolarz

doi:10.1117/12.3058597

16 December 2024 Modelling a modified parallel-hierarchical transformation algorithm for laser beam image processing

Leonid Tymchenko, Natalia Kokriatska, Volodymyr Tverdomed, Anatolii Horban, Oleksandr Kaduk, Volodymyr Bogachuk, Aisha Mussabekova, Oleksandr Sobovyі, Ilya Lisovenko, Orken Mamyrbayev, Andrzej Smolarz

Author Affiliations +

Proceedings Volume 13400, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024; 134000Y (2024) https://doi.org/10.1117/12.3058597
Event: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024, 2024, Lublin, Poland

Abstract

This paper presents an implementation of a modified parallel-pyramidal algorithm for efficient image processing and identification. The method involves the creation of a system model that supports the integration of spatial, temporal and network data to form a dynamic pyramidal-hierarchical network. The paper details vector sorting techniques, Gtransformations for modifying vector elements, and a shifting procedure that facilitates efficient data transformation. The procedures described are integrated into a general data processing sequence that involves iterative application of these methods until the final result is achieved. How the algorithm works is shown in the example of laser beam projection analysis.

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

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Leonid Tymchenko, Natalia Kokriatska, Volodymyr Tverdomed, Anatolii Horban, Oleksandr Kaduk, Volodymyr Bogachuk, Aisha Mussabekova, Oleksandr Sobovyі, Ilya Lisovenko, Orken Mamyrbayev, and Andrzej Smolarz "Modelling a modified parallel-hierarchical transformation algorithm for laser beam image processing", Proc. SPIE 13400, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024, 134000Y (16 December 2024); https://doi.org/10.1117/12.3058597

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KEYWORDS

Image processing

Data processing

Diffraction

Image enhancement

Modeling

Image analysis

Robots

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