An Automatic Cognitive Graph-Based Segmentation for Detection of Blood Vessels in Retinal Images

Automatic detection of multiple oriented blood vessels in retinal images

Automatic segmentation of the vasculature in retinal images is important in the detection of diabetic retinopathy that affects the morphology of the blood vessel tree. In this paper, a hybrid method for efficient segmentation of multiple oriented blood vessels in colour retinal images is proposed. Initially, the appearance of the blood vessels are enhanced and background noise is suppressed wit...

Direction-Based Segmentation of Retinal Blood Vessels

Automatic Segmentation of Retinal Blood Vessels Based on Improved Multiscale Line Detection

The appearance of retinal blood vessels is an important diagnostic indicator of serious disease, such as hypertension, diabetes, cardiovascular disease, and stroke. Automatic segmentation of the retinal vasculature is a primary step towards automatic assessment of the retinal blood vessel features. This paper presents an automated method for the enhancement and segmentation of blood vessels in ...

Automatic Detection of Blood Vessels in Retinal Images for Diabetic Retinopathy Diagnosis

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 ...

Detection of Blood Vessels in Retinal Fundus Images

Detection of blood vessels in retinal fundus images is an important initial step in the development of systems for computeraided diagnosis of pathologies of the eye. In this study, we perform multifeature analysis for the detection of blood vessels in retinal fundus images. The vessel detection techniques implemented include multiscale vesselness measures, Gabor filters, line operators, and mat...