Abstract
Precise vessel detection within retinal images is a vital and tedious task. Diagnosis of retinal images is actually more challenging in pathological images with all the latest presence of exudates along with other abnormalities. In this paper, the study indicates that segment exudates with an unsupervised approach which has come up with better outcomes but unfortunately it suffers from the adverse effect of the undesirable noise. So it can be further improved by using an adaptive form of Neighbourhood Estimator Before Filling filter (NEBF) in the Cellular domain using cellular automation. This paper mainly focuses on evaluating the effectiveness; designing and implementation of Adaptive NEBF filter based retina image segmentation technique in cellular domain
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