Journal d'ophtalmologie clinique et expérimentale
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Segmentation of Retinal Blood Vessels in Glaucoma using a Comparative Study of Edge Detection Methods in Medical Image Processing

Sahand Shahalinejad, Mehdi Nooshyar

Glaucoma is an eye disorder with different causes but a clinical and common effect on the eye and optic nerve and is related to intraocular pressure and can be a silent disease in all ages and individuals. Significant efforts and advances in the field of retinal image processing have been made to provide automated systems for the diagnosis of various diseases on it. Such systems, in addition to allowing the processing of retinal images in large volumes with minimal time and cost, are free from fatigue and other weaknesses that the diagnostician may suffer. In this article, the proposed method of using the technique Edge detection is for segmentation of retinal blood vessels, qualitative analysis of the results showed high accuracy for segmentation of retinal blood vessels. Using the results can be best used to diagnose with glaucoma.