A Robust Deep Net Method for Retinal Image Segmentation

Abstract

Segmentation of retinal blood vessel nowadays is one of the critical factors that determine the performance of a CAD based system. Segmentation means extracting the region of disease from the image. Segmentation of retinal blood vessels' boundary is required to segment them precisely because an eye surgeon wouldn't be able to predict the disease area if segmentaion not accurately done. Segmentation in the proposed method is carried out by Morphological operation that extracted the feature robustly and ultimately distance based clustering is applied to segment the image.