Work place: Computer Science Department,Yuriy Fedcovitch Chernivtsi National University, Chernivtsi, 58002, Ukraine
Research Interests: Computer Science & Information Technology, Medical Image Computing
Ivan Gordey, Post-graduate student at the Computer Science Department of the Institute of Physical and Technical and Computer Sciences at the Yuri Fedkovich Chernivtsi National University. His research interests include digital processing of medical images using computer algorithms of statistical, correlation and fractal analysis.
DOI: https://doi.org/10.5815/ijigsp.2023.05.06, Pub. Date: 8 Oct. 2023
At the current moment, all developed polarization methods utilize "single-point" statistical analysis algorithms for laser fields. A relevant task is to generalize traditional techniques by incorporating new correlation-based "two-point" algorithms for the analysis of polarization images. Theoretical foundations of the mutual and autocorrelation processing of phase maps of polarization-structural images of samples of dehydrated serum films are given. The maps of a new polarization-correlation parameters, namely complex degree of coherence (CDC) and complex degree of mutual polarization (CDMP) of soft matter layer boundary field by the example of dehydrated serum film samples are investigated. Two groups of representative samples, uterine myoma patients (control group 1) and patients with external genital endometriosis (study group 2), were considered. We applied a complex algorithm of analytical data processing - statistical (1stand 4th central statistical moments), correlation (Gram-Charlie expansion coefficients of autocorrelation functions) and fractal (fractal dimensions) parameters of polarization-correlation parameters maps. Objective markers for diagnosing extragenital endometriosis were found.[...] Read more.
Subscribe to receive issue release notifications and newsletters from MECS Press journals