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Computer Optics, 2015, Volume 39, Issue 1, Pages 94–100
DOI: https://doi.org/10.18287/0134-2452-2015-39-1-94-100
(Mi co62)
 

This article is cited in 3 scientific papers (total in 3 papers)

NUMERICAL METHODS FOR COMPUTER OPTICS

Development of optical flow computation algorithms for strain measurement of solids

P. S. Lyubutinab

a Institute of Strength Physics and Materials Science of Siberian Branch Russian Academy of Sciences
b Tomsk Polytechnic University (National Research University)
Full-text PDF (600 kB) Citations (3)
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Abstract: This paper deals with the improvement of optical flow algorithms for strain measurements. The aim of the research is to reduce the computational effort and improve the robustness of the algorithms. The proposed modifications of the algorithms are based on the incremental approach to the estimation of the subsets displacement on the image subsequence, as well as on a three-dimensional recursive search (3DRS). An investigation of the robustness and performance of the algorithms shows the advantage of the proposed modifications.
Keywords: displacement vector field, incremental approach, image processing.
Funding agency Grant number
Russian Foundation for Basic Research 13-07-00009_а
RF President scholarship СП-816.2012.5
This work was supported in part by a program of fundamental scientific research of the state academies of sciences for 2013-2020, RFBR grant №13-07-00009, as well as the grant number SP-816.2012.5.
Received: 07.08.2014
Document Type: Article
Language: Russian
Citation: P. S. Lyubutin, “Development of optical flow computation algorithms for strain measurement of solids”, Computer Optics, 39:1 (2015), 94–100
Citation in format AMSBIB
\Bibitem{Lyu15}
\by P.~S.~Lyubutin
\paper Development of optical flow computation algorithms for strain measurement of solids
\jour Computer Optics
\yr 2015
\vol 39
\issue 1
\pages 94--100
\mathnet{http://mi.mathnet.ru/co62}
\crossref{https://doi.org/10.18287/0134-2452-2015-39-1-94-100}
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  • https://www.mathnet.ru/eng/co62
  • https://www.mathnet.ru/eng/co/v39/i1/p94
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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    Abstract page:174
    Full-text PDF :74
    References:30
     
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