title: Automatic detection of blood vessels in retinal images for diabetic retinopathy diagnosis.
abstract: Diabetic retinopathy (DR) is a leading cause of vision loss in diabetic patients. DR is mainly caused due to the damage of retinal blood vessels in the diabetic patients. It is essential to detect and segment the retinal blood vessels for DR detection and diagnosis, which prevents earlier vision loss in diabetic patients. The computer aided automatic detection and segmentation of blood vessels through the elimination of optic disc (OD) region in retina are proposed in this paper. The OD region is segmented using anisotropic diffusion filter and subsequentially the retinal blood vessels are detected using mathematical binary morphological operations. The proposed methodology is tested on two different publicly available datasets and achieved 93.99% sensitivity, 98.37% specificity, 98.08% accuracy in DRIVE dataset and 93.6% sensitivity, 98.96% specificity, and 95.94% accuracy in STARE dataset, respectively.
authors: Department of ECE, SACS MAVMM Engineering College, Madurai, Tamil Nadu 625 301, India.
authors: D Siva Sundhara
authors: DS
authors: Raja
authors: Department of ECE, Velammal College of Engineering and Technology, Madurai, Tamil Nadu 625 009, India.
authors: S
authors: S
authors: Vasuki
mesh_terms: D000465:Algorithms; D016880:Anisotropy; D016208:Databases, Factual; D003930:Diabetic Retinopathy / Q000175:diagnosis* / Q000473:pathology*; D003936:Diagnosis, Computer-Assisted; D004058:Diffusion; D006801:Humans; D008962:Models, Theoretical; D009898:Optic Disk / Q000473:pathology; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012160:Retina / Q000473:pathology; D012171:Retinal Vessels / Q000473:pathology*; D012680:Sensitivity and Specificity