Wavelet analysis for Mueller matrix images of biological crystal networks

• Published in: Semiconductor Physics Quantum Electronics & Optoelectronics
• 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
• Online Access: https://nasplib.isofts.kiev.ua/handle/123456789/118842
• 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.

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 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.