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This article is cited in 5 scientific papers (total in 5 papers)
IMAGE PROCESSING, PATTERN RECOGNITION
Matching of images based on their diffeomorphic mapping
S. V. Lejhtera, S. N. Chukanovb a Siberian State Automobile Engineering University, Omsk, Russia
b Sobolev Institute of Mathematics of the Siberian Branch of the RAS, Omsk branch, Russia
Abstract:
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.
Keywords:
pattern recognition, learning, Euler-Poincaré equation, diffeomorphic transformations, metamorphism.
Received: 10.07.2017 Accepted: 07.11.2017
Citation:
S. V. Lejhter, S. N. Chukanov, “Matching of images based on their diffeomorphic mapping”, Computer Optics, 42:1 (2018), 96–104
Linking options:
https://www.mathnet.ru/eng/co483 https://www.mathnet.ru/eng/co/v42/i1/p96
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Abstract page: | 192 | Full-text PDF : | 64 | References: | 30 |
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