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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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Gradient Morphology in Estimating the Parameters of Vortex Formations and Ship Wakes in Imagesтезисы доклада
- Авторы: Terentiev E.N., Prikhodko I.N., Алешин П.Е.
- Сборник: Eight International Scientific Conference-School for Young Scientists Physical and Mathematical Modeling of Processes in Geomedia, Moscow, IPMECH RAS, October 12-14, 2022, Proceedings
- Тезисы
- Год издания: 2022
- Место издания: ИПМех РАН МДМ Принт
- Первая страница: 23
- Последняя страница: 26
- Аннотация: The methods of Gradient Morphology (GM) are based on the Finite Dimensional Sampling Theorem (FDST), which allows us to calculate partial derivatives of arrays of numbers, almost with the accuracy of the mantissa (without the use of finite difference schemes), in particular, to calculate gradient fields B=grad P from scalar images P. Methods for analyzing the shape of vector fields B allow GM methods in images P to accurately estimate the parameters of vortex formation, for example or parameters of a ship's wake structure in an image.
- Добавил в систему: Терентьев Евгений Николаевич