Performance Analysis of Adaptive NEBF Filter Using Cellular Automata for Retinal Vessel Segmentation

Abstract

Explicit faultless vessel detection in eye retina image is vital but unfortunately time consuming and tedious task. Detecting the exudates in the retina image where number of other abnormalities may exist which makes it more strenuous in nature. The main aim of segmenting the retina image is that to have a clear illustration of the image so that it can be analysed easily. An enhanced version of NEBF filter utilized to inpaint the exudate in the eye in a specific pattern by detecting nearby false positives which has to be deduced in number to get a better improved detection during segmentation of vessels. The Enhanced Novel Exudate Method is utilized for Inpainting for Retinal Vessel Segmentation in Cellular Domain using Cellular Automation.