Blood vessel extraction is a critical step in gaining access to various important features in the retinal images. This
paper presents a fast and effective method of segmentation of the blood vessels. The ophthalmologists can diagnose the disorders
of the eye using the technology of Digital Image Processing. The patients' retinal fundus images are procured by capturing the
background of the eye using a digital fundus camera. Numerous methods of the segmentation of retinal blood vessels based on
convolutionary neural networks have been proposed recently, and the U-net has been applied successfully in order to view
segmentation as a new segmentation network.
