Comparison of Morphological and Edge detection, Line Operator based Retinal Blood Vessel Detection Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 5
Abstract
Diabetic Retinopathy has turned out to be the most commonly occurring disease in patients with uncontrolled level of diabetes. So, it has become necessary to diagnose it at preliminary stage. Blood Vessels and optic disc are normal features of any retinal image. They are very helpful in detecting abnormal features of diabetic retinopathy. In detection of non-proliferative diabetic retinopathy (NPDR), sometimes, the abnormal features look like normal features. Hence, to avoid false positives, these features are removed before processing. Also, in the analysis of proliferative diabetic retinopathy (PDR), for neo-vascularization detection, the blood vessels are studied. So, after the blood vessels have been segmented, the features can be extracted and then the existence of neo-vascularization can be found out. There are various methods for blood vessel segmentation. This paper reviews two different methods for blood vessels segmentation: morphological and edge detection, line operator based methods. The algorithms were implemented on a set of images from different standard databases, ‘diaretdb’ and ‘High Resolution Fundus Images’; and non-standard database collected from ‘Bankers Retina Clinic and Laser Centre, Ahmedabad’.
Authors and Affiliations
Kokel Hetal N. , Bhavin Mehta
Keywords
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