TY  - JOUR
T1  - Retinal Blood Vessel Segmentation for Assessment of Diabetic Retinopathy Using a Two-Dimensional Model
AU - , C. Jayakumari AU - , T. Santhanam 
JO  - Asian Journal of Information Technology
VL  - 6
IS  - 12
SP  - 1205
EP  - 1211
PY  - 2007
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2007.1205.1211
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2007.1205.1211
KW  - Vessel extraction
KW  -vessel tracing
KW  -gaussian second derivate
KW  -two-dimensional model
KW  -segmentation
AB  - Retinal blood vessels are very imperative structures in ophthalmologic images. Automated image processing has the immense potential to assist the physicians in the early detection of diabetes, by observing the changes in blood vessel patterns in the retina.  This study details a novel vessel tracking algorithm as a part of the set of tools exercised for the automated diagnosis of diabetic retinopathy. To begin with, the papilla is detected by utilizing Canny’s edge detection algorithm. Then, the blood vessels are traced by using the second-order derivative Gaussian filter. The projected algorithm has achieved acceptable results to spot the small veins/thin vessels that play a mighty contribution in the clinical arena.
ER  -