localizing the optic disc (od) in retinal fundus images is of critical importance, since it is very similar to hard exudates (found in pathology) in color and brightness. because of the importance of od localization in clinical applications, many techniques have been developed. in this paper, we present the results obtained from two methods, correlation and least square, to approximate the opti...

The paper addresses the fine retinal-vessel's detection issue that is faced in diagnostic applications and aims at assisting in better recognizing fine vessel anomalies in 2D. Our innovation relies in separating key visual features vessels exhibit in order to make the diagnosis of eventual retinopathologies easier to detect. This allows focusing on vessel segments which present fine changes det...

Digital subtraction angiography is a standard diagnosis tool for the examination of vessels. For this method X-ray images (contrast images) are taken from the patient while a radio-opaque contrast agent is injected through a catheter. The first image of such a scene is usually taken before injection and is called mask image. In clinical routine the mask image is manually shifted to perform a ro...

The proposed method measures the retinal blood vessel diameter to identify arteriolar narrowing, arteriovenous (AV) nicking, branching coefficients to detect early diabetic retinopathy. It utilizes the vessel centerline and edge information to measure the width for a vessel segment. From the input retinal image, the vascular network is extracted using the local entropy thresholding method. The ...

Accurate measurement of vessel diameters on retinal images plays an important part in diagnosing cardiovascular diseases and early signs of certain systemic diseases, such as diabetes and hypertension. In this study we develop new method based on computer aided to determine the width of retinal blood vessels by analysing the color fundus image. Retinal vessel diameter was measured based on bloo...

Computerized segmentation of retinal vessels can help doctors discover diabetic retinopathy, Retinal Tear and Detachment. Because the anatomy is complicated changing, automated vessel still a difficult task. The Expectation-Maximization approach for vascular proposed in this paper, which uses matched filter (MF) that combines Mask based Blood Vessels Extraction with global image threshold to ex...

Many retinal diseases are characterised by changes to retinal vessels. For example, a common condition associated with retinopathy of prematurity (ROP) is so-called plus disease, characterised by increased vascular dilation and tortuosity. This paper presents a general technique for segmenting out vascular structures in retinal images, and characterising the segmented blood vessels. The segment...

Vessel cross-sectional diameter is an important feature for analyzing retinal vascular changes. In automated retinal image analysis, the measurement of vascular width is a complex process as most of the vessels are few pixels wide or suffering from lack of contrast. In this paper, we propose a new method to measure the retinal blood vessel diameter which can be used to detect arteriolar narrowi...

coronary heart disease has been one of the main threats of human health. coronary angiography is taken as the “gold standard” for the assessment of coronary artery disease. but sometimes, the images are difficult to interpret visually because of the crossing and overlapping of the vessels in the angiograms. vessel extraction from x-ray angiograms has been a challenging problem for several years...