Diagnosis of Diabetic Retinopathy Using Morphological Process and SVM Classifier
Author(s):
M.Rajesh Babu, BVNR Siva Kumar, P.Rakesh Kumar
Keywords:
Face recognition, biometrics, facial aging, who is it data base
Abstract
Clinically, diabetic retinopathy (DR) is defined as the presence of typical retinal micro vascular signs in an individual with diabetes mellitus. High blood glucose levels cause the endothelial cells lining the blood vessels to absorb more glucose than normal. This leads to excess formation of glycoproteins. The walls of the vessels grow thicker but weaker, leading to bleeding, leakage of water, proteins and lipids, resulting in swelling of the fovea, which is responsible for sharp central vision. Furthermore, blood flow is reduced leading to ischemia. In response to this, new vessels grow to re-establish blood supply (revascularization); however, these are fragile and may bleed causing vitreous hemorrhage and retinal detachment. Clinical assessment is thus essential to detect these signs, and in their absence assess the risk of progression to vision-threatening disease.
Article Details
Unique Paper ID: 143971

Publication Volume & Issue: Volume 3, Issue 4

Page(s): 259 - 265
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