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Computer Optics, 2024, Volume 48, Issue 1, Pages 109–117
DOI: https://doi.org/10.18287/2412-6179-CO-1332
(Mi co1218)
 

This article is cited in 1 scientific paper (total in 1 paper)

IMAGE PROCESSING, PATTERN RECOGNITION

Stochastic algorithm synthesis for image registration by the criterion of maximum mutual information

A. G. Tashlinskiia, G. L. Safinaa, R. M. Ibragimovb

a Moscow State University of Civil Engineering
b Ulyanovsk State Technical University
References:
Abstract: For synthesis the expressions for gradients of Shannon, Renyi and Tsallis mutual information are obtained on the basis of the mathematical apparatus of stochastic gradient adaptation of algorithms for estimating image registration parameters. To obtain expressions the derivatives of the image entropy with respect to the estimated parameters are used. The entropies are calculated using the Parzen window method. A comparative study of the synthesized algorithms on the stability and accuracy of the registration parameter estimates, including in conditions of additive noise, has been carried out.
Keywords: image, estimation, parameter, binding, stochastic procedure, mutual information
Funding agency Grant number
Russian Science Foundation 22-21-00513
The work was supported by the Russian Science Foundation according to research projects No. 22-21-00513, https://rscf.ru/en/project/22-21-00513/.
Received: 04.05.2023
Accepted: 11.08.2023
Document Type: Article
Language: English
Citation: A. G. Tashlinskii, G. L. Safina, R. M. Ibragimov, “Stochastic algorithm synthesis for image registration by the criterion of maximum mutual information”, Computer Optics, 48:1 (2024), 109–117
Citation in format AMSBIB
\Bibitem{TasSafIbr24}
\by A.~G.~Tashlinskii, G.~L.~Safina, R.~M.~Ibragimov
\paper Stochastic algorithm synthesis for image registration by the criterion of maximum mutual information
\jour Computer Optics
\yr 2024
\vol 48
\issue 1
\pages 109--117
\mathnet{http://mi.mathnet.ru/co1218}
\crossref{https://doi.org/10.18287/2412-6179-CO-1332}
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  • https://www.mathnet.ru/eng/co/v48/i1/p109
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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