Publication: Two-Dimensional Filtering Method Using Systems of Local Model Functions for Muonogram Analysis
Дата
2020
Авторы
Getmanov, V. G.
Sidorov, R. V.
Dobrovolsky, M. N.
Perederin, F. V.
Yashin, I. I.
Dmitrieva, A. N.
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Аннотация
© 2020, Pleiades Publishing, Ltd.Abstract: A two-dimensional filtering method, based on the construction of systems of approximating sliding local model functions with their subsequent weighted averaging, is proposed. A two-dimensional filtering algorithm based on the summation of approximating sliding piecewise-linear model functions with weight coefficients is developed. Optimization of the parameters of the filtering algorithm is considered. The results of testing the filtering algorithm and calculating its optimal parameters on model muonograms are presented. A comparative estimation of the algorithm’s errors is made. An example of testing the developed method of two-dimensional filtering on an experimental muonogram is presented; the results of the muonogram’s analysis are described.
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Two-Dimensional Filtering Method Using Systems of Local Model Functions for Muonogram Analysis / Getmanov, V.G. [et al.] // Pattern Recognition and Image Analysis. - 2020. - 30. - № 3. - P. 460-469. - 10.1134/S1054661820030062
URI
https://www.doi.org/10.1134/S1054661820030062
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https://openrepository.mephi.ru/handle/123456789/22347
https://www.scopus.com/record/display.uri?eid=2-s2.0-85090998640&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000705650400018
https://openrepository.mephi.ru/handle/123456789/22347