Retinal Blood Vessel Segmentation as a Tool to Detect Diabetic Retinopathy

Abstract

The retina is an important part of the eye for humans. In besides its main function as part of the sense of sight, in the world medically, the retina after an image can be used to detect a number diseases, such as diabetic retinopathy. To detect a number of diseases, Retinal digital images taken using a digital fundus camera are used. In detecting diabetic retinopathy, digital images are needed segmented retina. Nevertheless, automatic segmentation of digital images the retina is a complex work, given the presence of artifacts as well as noise on the retinal digital image, evenly illuminated, intensity low, low contrast, and varying lengths of retinal blood vessels. In this research, a blood vessel segmentation software system has been designed through three stages image processing, namely (i) preprocessing, (ii) improving image quality, (iii) and segmentation of retinal blood vessels. With three image processing stages, the performance value is obtained, i.e . 84.62 .