Open AccessStatistical and Fractal Processing of Phase Images of Human Biological Fluids
Author(s) -
Yu. A. Ushenko,
Yu. Ya. Tomka,
Y. I. Marchuk,
V. O. Balanetcka
Publication year - 2010
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2010.04026
Subject(s) - fractal , image processing , computer science , fractal analysis , phase (matter) , artificial intelligence , computer vision , pattern recognition (psychology) , fractal dimension , image (mathematics) , mathematics , mathematical analysis , physics , quantum mechanics
Performed in this work are complex statistical and fractal analyses of phase properties inherent to birefringence networks of liquid crystals consisting of optically-thin layers prepared from human bile. Within the framework of a statistical approach, the authors have investigated values and ranges for changes of statistical moments of the 1-st to 4-th orders that characterize coordinate distributions for phase shifts between orthogonal components of amplitudes inherent to laser radiation transformed by human bile with various pathologies. Using the Gramm-Charlie method, ascertained are correlation criteria for differentiation of phase maps describing pathologically changed liquid-crystal networks. In the framework of the fractal approach, determined are dimensionalities of self-similar coordinate phase distributions as well as features of transformation of logarithmic dependences for power spectra of these distributions for various types of human pathologies