The retinal blood vessels have a huge impact on the diagnosis of eye diseases in addition to other systematic diseases in the human body. In this paper, we presented an automated segmentation method to extract retinal blood vessels, starting with preprocessing, then passing the image into segmentation stage using Bradley technique, and lastly, morphological operations. The proposed method was assessed and tested on STARE dataset, followed by comparing the auto-segmented images to the manually segmented ones. The comparison results Accuracy, Sensitivity, and Specificity were 94.63%, 95.02%, and 80.73% respectively.
