Classification and Calculation of Retinal Blood vessels Parameters

In this paper, we present an algorithm for the classification and calculation of retinal blood vessels parameters. Six parameters including Area, Length, thickness, Diameter, Mean Diameter and Tortuosity are calculated. The algorithm proceeds through three main steps 1. preprocessing operations on high resolution fundus images 2. For retinal vessel extraction, simple vessel segmentation techniques formulated in the language of 2D Median Filter 3. Segmentation for finding boundaries of the extracted blood vessels. Performance of this algorithm is tested using the fundus image database( 245 images) taken from Dr. Manoj Saswade, Dr.Neha Deshpande and online available databases diaretdb0, diaretdb1 and DRIVE. This algorithm achieves accuracy of 96% with 0.92 sensitivity and 0 specificityfor Saswade detabase , for diaretdb0 accuracy 95% with 0.95 sensitivity and 0 specificity, for diaretdb1 accuracy 96% with 0.96 sensitivity and 0 specificity, and for DRIVE database 98% accuracy with 0.98 sensitivity and 0 specificity and also used statistical techniques for result analysis, in this techniques used Mean, Standard Deviation, Variance, Covariance, Coefficient etc.