Wavelet analysis for Mueller matrix images of biological crystal networks

Theoretically grounded in this work is the efficiency of using the statistical and fractal analyses for distributions of wavelet coefficients for Mueller-matrix images of biological crystal networks inherent to human tissues. The authors found interrelations between statistical moments and power...

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Bibliographic Details
Date:2009
Main Authors: Ushenko, Yu.O., Tomka, Yu.Ya., Pridiy, O.G., Motrich, A.V., Dubolazov, O.V., Misevitch, I.Z., Istratiy, V.V.
Format: Article
Language:English
Published: Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України 2009
Series:Semiconductor Physics Quantum Electronics & Optoelectronics
Online Access:http://dspace.nbuv.gov.ua/handle/123456789/118842
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Journal Title:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Cite this:Wavelet analysis for Mueller matrix images of biological crystal networks / Yu.O. Ushenko, Yu.Ya. Tomka, O.G. Pridiy, A.V.Motrich, O.V. Dubolazov, I.Z.Misevitch, V.V. Istratiy // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2009. — Т. 12, № 4. — С. 391-398. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine

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