Abstract
To develop a method for automatic analysis of angiographic images of the fundus for early diagnosis of vascular disorders and complications in a number of ophthalmic diseases. Initial angiograms of patients (n=117) with vascular eye diseases and in healthy condition were analyzed in automatic mode using a new mathematical approach to digital processing of fundus fluorescein angiograms based on a three-stage algorithm for extracting information from images. A new mathematical method has been developed for the analysis fluorescein angiograms allowing for more complete results than with visual inspection of images, with image processing taking no more than 1 second in automatic mode. The developed method is based on fundamental results of the mathematical theory of image analysis and the joint use of image processing methods, mathematical morphology and mathematical statistics. The article introduces software implementations of the developed methods and presents the automated workplace of an ophthalmologist researcher.
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