AIM To recognise automatically the main components of the fundus on digital colour images. METHODS The main features of a fundus retinal image were defined as the optic disc, fovea, and blood vessels. Methods are described for their automatic recognition and location. 112 retinal images were preprocessed via adaptive, local, contrast enhancement. The optic discs were located by identifying th...

A supervised method is proposed for automated segmentation of vessels in fundus images of retina. This method is used to detect the retinal diseases by extracting the retinal vasculature utilizing 9-D feature vector based on orientation analysis of gradient vector field, morphological transformation, line strength measures, and Gabor filter responses. The feature vector encodes information to h...

The most common disease that is found among people across the world Diabetes and it predicted to increase more in upcoming years by World Health Organization (WHO). People who are diabetic for a longer period likely have Diabetic Retinopathy (DR), an eye which can lead blindness this cannot be reversed. One of severe stage problems DR Retinal Neovascularization (RN), i.e., outburst retinal bloo...

Background and Objectives: Retinal blood vessels classification into arterioles venules is a major task for biomarker identification. Especially, clustering of retinal challenging due to factors affecting the images such as contrast variability, non-uniform illumination etc. Hence, high performance automatic vessel system highly prized. In this paper, we propose novel unsupervised methodology c...

The retinal vasculature supplies cells of the inner and middle layers of the retina with oxygen and nutrients. Photic stimulation dilates retinal arterioles producing blood flow increases, a response termed functional hyperemia. Despite recent advances, the neurovascular coupling mechanisms mediating the functional hyperemia response in the retina remain unclear. In this review, the retinal fun...

We present an application of the Joint Spectral and Time domain OCT (STdOCT) method for detection of wide range of flows in the retinal vessels. We utilized spectral/Fourier domain OCT (SOCT) technique for development of scan protocols for Doppler signal analysis. We performed retinal imaging in normal eyes using ultrahigh speed (200 000 axial scans/s) SOCT instrument with a CMOS camera. Variou...

Retinal blood vessels are important structures in ophthalmological images. Many detection methods are available, but the results are not always satisfactory. In this paper, we present a novel model based method for blood vessel detection in retinal images. It is based on a Laplace and thresholding segmentation step, followed by a classification step to improve performance. The last step assures...