We propose a method for retinal image matching that can be used in image matching for person identification or patient longitudinal study. Vascular invariant features are extracted from the retinal image, and a feature vector is constructed for each of the vessel segments in the retinal blood vessels. The feature vectors are represented in a tree structure with maintaining the vessel segments a...

Retinal vessel segmentation is critical in detecting retinal blood vessels for a variety of eye disorders, and consistent computerized method required automatic disorder screening. Many methods are implemented, but these only yielded accuracy lack good sensitivity due to the coherence segmentation. Another main factor low proper technique handle low-varying contrast problem. In this study, we p...

Introduction Over the past few decades, various methods have been proposed in the image analysis of human retinal vascular network that offer new techniques to evaluate different aspects of retinal vascular topography (Kyriacos et al 1997; Saine & Tyler 2002; Ţălu 2005; Losa et al 2005; Patton et al 2006; Ţălu et al 2009; Jastrow 2010; Holz & Spaide 2010; Abramoff et al 2010; Ştefănuţ et al 201...

PURPOSE To investigate whether retinal vessel calibre measurements on optical retinal photography are affected by light and dark exposure prior to photography and whether the vessel calibre changes during an imaging sequence of several images. METHODS Digital optical retinal photographs were obtained from 32 healthy adults in two separate image sequences of six images during 1 min; one sequen...

Current digital image/video storage, transmission and display technologies use uniformly sampled images. On the other hand, the human retina has a nonuniform sampling density that decreases dramatically as the solid angle from the visual fixation axis increases. Therefore, there is sampling mismatch between the uniformly sampled digital images and the retina. This paper introduces retinally rec...

BACKGROUND Optical coherence tomography (OCT) is widely used in ophthalmology for viewing the morphology of the retina, which is important for disease detection and assessing therapeutic effect. The diagnosis of retinal diseases is based primarily on the subjective analysis of OCT images by trained ophthalmologists. This paper describes an OCT images automatic analysis method for computer-aided...