ANALYSIS OF SEGMENTATION TECHNIQUES OF RETINAL BLOOD VESSELS

Abstract

Retinal blood vessels are one of the most significant features in the fundus image of the eye, which plays a crucial role in the early screening of different eye diseases like glaucoma, , cataract, diabetic retinopathy and hypertensive retinopathy. Also in the area of biometric systems, blood vessel structure plays a vital role as retina scan is one of the finest and reliable methods. This dissertation report proposed different segmentation technique which accurately extracts retinal blood vessels. The proposed methods are completely based on Image processing technique. The first method is a segmentation technique of retinal blood vessel using Multi-Threshold and morphological operations while the second method is the retinal vessel extraction using principle curvature. This method efficiently segments the vessels and improves the performance parameters. The accuracy of 95.3% and 96.6% achieved by the first and second proposed methods respectively. Implementation part was done in MATLAB 2015a using a DRIVE database openly available online.