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Algorithmic processing and image control of retinal pathologies

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.