Wavelet analysis for Mueller matrix images of biological crystal networks

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dc.contributor.authorUshenko, Yu.O.
dc.contributor.authorTomka, Yu.Ya.
dc.contributor.authorPridiy, O.G.
dc.contributor.authorMotrich, A.V.
dc.contributor.authorDubolazov, O.V.
dc.contributor.authorMisevitch, I.Z.
dc.contributor.authorIstratiy, V.V.
dc.date.accessioned2017-05-31T19:05:44Z
dc.date.available2017-05-31T19:05:44Z
dc.date.issued2009
dc.description.abstractTheoretically 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 spectra for distributions of wavelet coefficients as well as orientation-phase changes in networks of biological crystals. Also determined are criteria for statistical and fractal diagnostics of changes in the birefringent structure of biological crystal network, which corresponds to pathological changes in tissues.uk_UA
dc.identifier.citationWavelet 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.uk_UA
dc.identifier.issn1560-8034
dc.identifier.otherPACS 87.64.-t
dc.identifier.urihttps://nasplib.isofts.kiev.ua/handle/123456789/118842
dc.language.isoenuk_UA
dc.publisherІнститут фізики напівпровідників імені В.Є. Лашкарьова НАН Україниuk_UA
dc.relation.ispartofSemiconductor Physics Quantum Electronics & Optoelectronics
dc.statuspublished earlieruk_UA
dc.titleWavelet analysis for Mueller matrix images of biological crystal networksuk_UA
dc.typeArticleuk_UA

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Semicond. Physics Quantum Electronics & Optoelectronics, 2009, № 4