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Num. Meth. Prog., 2013, Volume 14, Issue 1, Pages 17–25 (Mi vmp86)  

Вычислительные методы и приложения

A maximum entropy reconstruction technique for tomographic particle image velocimetry

A. V. Bilsky, V. A. Lozhkin, D. M. Markovich, M. P. Tokarev

S.S. Kutateladze Institute of Thermophysics, Siberian Division of the Russian Academy of Sciences

Abstract: A method of entropy maximization (MENT) proposed earlier is applied to the reconstruction of three-dimensional images to measure the velocity fields by the tomographic particle image velocimetry (Tomo-PIV) method. The results of theoretical and experimental testing of the MENT algorithm are used to compare with the fastest SMART reconstruction algorithm. The theoretical estimates and the processing of synthetic and experimental images show a significantly improved performance with a slight decrease in the quality of results.

Keywords: maximum entropy reconstruction method; MENT; Tomographic Particle Image Velocimetry; Tomo-PIV; SMART.

Full text: PDF file (828 kB)
UDC: 519.6
Received: 05.12.2012

Citation: A. V. Bilsky, V. A. Lozhkin, D. M. Markovich, M. P. Tokarev, “A maximum entropy reconstruction technique for tomographic particle image velocimetry”, Num. Meth. Prog., 14:1 (2013), 17–25

Citation in format AMSBIB
\Bibitem{BilLozMar13}
\by A.~V.~Bilsky, V.~A.~Lozhkin, D.~M.~Markovich, M.~P.~Tokarev
\paper A maximum entropy reconstruction technique for tomographic particle image velocimetry
\jour Num. Meth. Prog.
\yr 2013
\vol 14
\issue 1
\pages 17--25
\mathnet{http://mi.mathnet.ru/vmp86}


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