Pyramidal method of generalized spatially connected processing and an example of its implementation in image processing

Leonid Tymchenko; Natalia Kokriatska; Volodymyr Tverdomed; Natalia Sachaniuk-Kavets’ka; Liudmyla Semenova; Olha Riabokon; Konrad Gromaszek; Aisha Mussabekova

doi:10.1117/12.2659202

12 December 2022 Pyramidal method of generalized spatially connected processing and an example of its implementation in image processing

Leonid Tymchenko, Natalia Kokriatska, Volodymyr Tverdomed, Natalia Sachaniuk-Kavets’ka, Liudmyla Semenova, Olha Riabokon, Konrad Gromaszek, Aisha Mussabekova

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Proceedings Volume 12476, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022; 124760E (2022) https://doi.org/10.1117/12.2659202
Event: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022, 2022, Lublin, Poland

Abstract

The article identifies invariance to image rotation as one of the main problems in image processing. A pyramidal method of generalized spatial processing was proposed as a means to solve the problem specified. The principle of signal processing according to the developed method is presented with an example of its implementation. A comparison of the developed preparation method with the contour preparation method was carried out. As a result, the level of immunity of the developed method to disturbance under Gaussian noise was determined.

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Leonid Tymchenko, Natalia Kokriatska, Volodymyr Tverdomed, Natalia Sachaniuk-Kavets’ka, Liudmyla Semenova, Olha Riabokon, Konrad Gromaszek, and Aisha Mussabekova "Pyramidal method of generalized spatially connected processing and an example of its implementation in image processing", Proc. SPIE 12476, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022, 124760E (12 December 2022); https://doi.org/10.1117/12.2659202

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KEYWORDS

Signal detection

Image processing

Image analysis

Interference (communication)

Signal to noise ratio

Video

Signal processing

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