ALGORITHMS FOR RECOGNITION OF GRAPHIC OBJECTS IN EYE IMAGES
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Abstract
This in the article eye from fundus images graphic objects - blood veins network, optical disc (view) nerve disc), macula /fovea area and pathological foci (exudate, hemorrhages) and others) automatic determination and recognizing to take algorithms Research within the images in advance again performance (contrast) normalize, noise reduce), interest area of interest ( ROI ) separation, segmentation and features release stages analysis Also, classical approaches
(limits) separation , morphological operations, filters, thresholding) and modern deep study models (U-Net, CNN-based segmentation and classification) is compared. As a result eye diseases early from fundus images in diagnosis graphic objects recognizing to take practical importance and promising directions based on is given.
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References
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