Matching of images based on their diffeomorphic mapping
Автор: Lejhter Sergej Vladimirovich, Chukanov Sergey Nikolayevich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений, распознавание образов
Статья в выпуске: 1 т.42, 2018 года.
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We discuss a problem of comparison of two diffeomorphic images, namely, the source and target images of a diffeomorphism, which are given by two sets of points. The problem is solved on the basis of a method of constructing a minimized functional characterizing the evolution of the diffeomorphic source-to-target image transformation and a penalty for the image path deviation from the required trajectory. An algorithm for solving the diffeomorphic transformation equation is developed on the basis of the gradient descent method. The considered problem of comparison of two images can be used for constructing an optimal metamorphism of images, when there is no exact correspondence between the source and target images of the diffeomorphism.
Pattern recognition, learning, euler-poincarè equation, diffeomorphic transformations, metamorphism
Короткий адрес: https://sciup.org/140228714
IDR: 140228714 | DOI: 10.18287/2412-6179-2018-42-1-96-104