Samara University Repository
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| Title: | Pre-segmentation influence on the efficiency of multi-temporal image registration |
| Keywords: | binding image processing cross-correlation non-invasive monitoring registration stochastic gradient |
| Issue Date: | 2023 |
| Citation: | Tashlinskii, A. Pre-segmentation influence on the efficiency of multi-temporal image registration / A. Tashlinskii, R. Magdeev, G. Safina // Информационные технологии и нанотехнологии (ИТНТ-2023) : сб. тр. по материалам IX Междунар. конф. и молодеж. шк. (г. Самара, 17-23 апр. 2023 г.): в 6 т. / М-во науки и высш. образования Рос. Федерации, Самар. нац. исслед. ун-т им. С. П. Королева (Самар. ун-т), Ин-т систем обраб. изобр. РАН - Фил. Федер. науч.-исслед. центра "Кристаллография и фотоника" Рос. акад. наук. - Самара : Изд-во Самар. ун-та, 2023Распознавание, обработка и анализ изображений / под ред. В. В. Сергеева. - 2023. - С. 031372. |
| Abstract: | The analysis of the segmentation effect of various background areas in the image on the quality of registration of multi-temporal bridge structure images using stochasticalgorithms is carried out. The influence of the parameters of bridge structures image registration, such background structures as cloudiness and ground cover, on the operatingrange is analyzed under the assumption that the similarity model describes mutual volumetric images. |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/13142 |
| Appears in Collections: | Информационные технологии и нанотехнологии |
| File | Size | Format | |
|---|---|---|---|
| 978-5-7883-1919-3_2023-031372.pdf | 391.27 kB | Adobe PDF | View/Open |
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