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...
Gespeichert in:
| Veröffentlicht in: | Semiconductor Physics Quantum Electronics & Optoelectronics |
|---|---|
| Datum: | 2009 |
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
2009
|
| Online Zugang: | https://nasplib.isofts.kiev.ua/handle/123456789/118842 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | 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. |
Institution
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Zusammenfassung: | 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.
|
|---|---|
| ISSN: | 1560-8034 |