Oleksandr Saleha

Work place: Optics and Publishing Department, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine

E-mail: o.salega@chnu.edu.ua


Research Interests: Analysis of Algorithms


Oleksandr Saleha, Postgraduate student at the Optics and Publishing Department of Chernivtsi National University. Research interests - digital processing of medical images using computer algorithms of statistical, correlation and fractal analysis.

Author Articles
Multifractal Scaling of Singularity Spectra of Digital Mueller-matrix Images of Biological Tissues: Fundamental and Applied Aspects

By Oleksandr Ushenko Oleksandr Saleha Yuriy Ushenko Ivan Gordey Oleksandra Litvinenko

DOI: https://doi.org/10.5815/ijigsp.2024.02.03, Pub. Date: 8 Apr. 2024

The fundamental component of the work contains a summary of the theoretical foundations of the algorithms of the scale-self-similar approach for the analysis of digital Mueller-matrix images of birefringent architectonics of biological tissues. The theoretical consideration of multifractal analysis and determination of singularity spectra of fractal dimensions of coordinate distributions of matrix elements (Mueller-matrix images - MMI) of biological tissue preparations is based on the method of maxima of amplitude modules of the wavelet transform (WTMM). The applied part of the work is devoted to the comparison of diagnostic capabilities for determining the prescription of mechanical brain injury using algorithms of statistical (central statistical moments of the 1st - 4th orders), fractal (approximating curves to logarithmic dependences of power spectra) and multifractal (WTMM) analysis of MMI linear birefringence of fibrillar networks of neurons of nervous tissue. Excellent (~95%) accuracy of differential diagnosis of the prescription of mechanical injury has been achieved.

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