Paper
20 December 2021 Algorithmic processing and image control of retinal pathologies
Ya. Penishkevich, S. Yermolenko, I. Mikirin, Ju. Galushko, I. Fesiv, O. Konovchuk
Author Affiliations +
Proceedings Volume 12126, Fifteenth International Conference on Correlation Optics; 121260O (2021) https://doi.org/10.1117/12.2615511
Event: Fifteenth International Conference on Correlation Optics, 2021, Chernivtsi, Ukraine
Abstract
The current state and prospects of development of methods of obtaining and analyzing images of the retina in important eye diseases and systemic diseases have been considered and analyzed. A method of fractal analysis of the retinal image based on the k-mean algorithm for the task of computer diagnostics and automated screening of hypertensive retinopathy has been developed and tested. The coefficients of wavelet decomposition of images of pathological conditions of the retina in angiopathy, macular degeneration, retinal degeneration and hypertensive retinopathy were calculated. An algorithm for finding the uncertainty of the quantitative values of the maximum modules of the wavelet decomposition coefficients in the presence of distorting obstacles is proposed.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ya. Penishkevich, S. Yermolenko, I. Mikirin, Ju. Galushko, I. Fesiv, and O. Konovchuk "Algorithmic processing and image control of retinal pathologies", Proc. SPIE 12126, Fifteenth International Conference on Correlation Optics, 121260O (20 December 2021); https://doi.org/10.1117/12.2615511
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KEYWORDS
Pathology

Algorithm development

Eye

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