Blood vessel detection from Retinal fundas images using GIFKCN classifier

In this paper, an automated method for blood vessel detection from retinal fundus images is proposed. Initially, the method extracts the green layer of the retinal image as it contains the requisite information. The noise is removed using a noise removal filter this step will lead to the reduction of artifacts in the final results. The image features are highlighted through morphological operations i.e., top hat and bottom hat transformation on...