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Synthesis of stochastic algorithms for image registration by the criterion of maximum mutual information
A.G. Tashlinskii 1, G.L. Safina 2, R.M. Ibragimov 1

1 Ulyanovsk State Technical University,
432027, Russia, Ulyanovsk, Severnyi Venets 32;
2 National Research Moscow State University of Civil Engineering,
129337, Russia, Moscow, Yaroslavskoe shosse 26

 PDF, 1407 kB

DOI: 10.18287/2412-6179-CO-1332

Страницы: 109-117.

Язык статьи: English.

Аннотация:
We discuss a synthesis of stochastic algorithms, obtaining expressions for gradients of Shannon, Renyi and Tsallis mutual information on the basis of the mathematical apparatus of stochastic gradient adaptation of algorithms for estimating image registration parameters. To obtain the expressions, derivatives of the image entropy with respect to the estimated parameters are used. The entropies are calculated using a Parzen window method. A comparative study of the synthesized algorithms in terms of stability and accuracy of the registration parameter estimates, including in conditions of additive noise, is carried out.

Ключевые слова:
image, estimation, parameter, binding, stochastic procedure, mutual information.

Благодарности
The work was done by Leading Research Center "National Center for Quantum Internet" of ITMO University supported by Russian Science Foundation (project No. 24-21-00484) and the grant ”Fundamental and Applied Problems of Photonics” No. 621317 of ITMO University.

Citation:
Tashlinskii AG, Safina GL, Ibragimov RM. Synthesis of stochastic algorithm for image registration by the criterion of maximum mutual information. Computer Optics 2024; 48(1): 109-117. DOI: 10.18287/2412-6179-CO-1332.

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