In this paper an algorithm for vessel segmentation and network extraction in retinal images
is proposed. A new multi-scale line-tracking procedure is starting from a small group of …

Background: The vascular tree observed in a retinal fundus image can provide clues for
cardiovascular diseases. Its analysis requires the identification of vessel bifurcations and …

Analysis of retinal vessel tree characteristics is an important task in medical diagnosis,
specially in cases of diseases like vessel occlusion, hypertension or diabetes. The detection …

Retinal arteriovenous (AV) nicking is one of the prominent and significant microvascular
abnormalities. It is characterized by the decrease in the venular caliber at both sides of an …

The use of vascular intersection aberration as one of the signs when monitoring and
diagnosing diabetic retinopathy from retina fundus images (FIs) has been widely reported in …

Junctions have been demonstrated to be important features in many visual tasks such as
image registration, matching, and segmentation, as they can provide reliable local …

Biometric technology improves the accuracy of the person's identification system instead of
the conventional identification technologies such as use of passwords, PIN, token etc …

The automated analysis of human eye fundus image is an important task. Diabetes is a
disease which occurs when the pancreas does not secrete enough insulin or the body is …

Identifying the vascular bifurcation, branch and crossover points in the retinal image is
helpful for predicting many cardiovascular diseases and can be used for image registration …

This paper describes a new approach for significant point identification on vessel centerline.
Significant points such as bifurcations and crossovers are able to define and characterize …