In this paper, a system for automated analysis of retinal images is proposed. This system segments blood vessels in retinal images and recognizes the main features of the fundus on digital color images. The recognized features were defined as blood vessels, optic disc, and fovea. An algorithm called 2D matched filters response has been proposed for the detection of blood vessels. Also, automati...

Blood vessel segmentation from the retinal images is extremely important for assessing retinal abnormalities. A good amount of research has been reported on blood vessel segmentation, but significant improvement is still a necessity particularly on minor vessel segmentation. As the local contrast of blood vessels is unstable (intensity variation), especially in unhealthy retinal images, it beco...

This paper proposes a local Radon transform-based algorithm for extraction of blood vessels in conjunctival images. This algorithm divides the image into overlapping windows and applies Radon transform to each window. Vessel direction in each window is found by detection of peak in Radon space. The proposed algorithm is capable of extracting blood vessels with a variety of widths. According to ...

Segmentation of vessels and brain aneurysms on non-invasive and flow-sensitive phase contrast magnetic resonance angiographic (PCMRA) images is essential in the detection of vascular diseases, in particular, intracranial aneurysms. In this paper, we devise a novel method based on multi-range filters and local variances to perform segmentation of vessels and intracranial aneurysms on PCMRA image...

—The main cause of eye diseases in the working human is Diabetic retinopathy. Eye disease can be prevented if detects early. The extraction of blood vessels from retinal images is an essential and challenging task in medical diagnosis and analysis. This paper describes the effective and efficient extraction of blood vessels from retinal image by using Kirsch’s templates. The Kirsch’s edge opera...

Retinal vessel segmentation is an indispensable step for automatic detection of retinal diseases with fundoscopic images. Though many approaches have been proposed, existing methods tend to miss fine vessels or allow false positives at terminal branches. Let alone undersegmentation, over-segmentation is also problematic when quantitative studies need to measure the precise width of vessels. In ...

An edge detection-based vessel tracing algorithm is presented to extract vascular tree structures present in medical images. Vasculatures are important features in biomedical image processing applications, such as in analyzing the biological process of angiogenesis. The presented algorithm first identifies points where blood vessels are likely to be then initiates traces from each identified se...

Diabetic retinopathy is caused by the retinal micro vasculature which may be formed as a result of diabetes mellitus. Blindness may appear as a result of unchecked and severe cases of diabetic retinopathy. Manual inspection of fundus images to check morphological changes in microaneurysms, exudates, blood vessels, hemorrhages, and macula is a very time-consuming and tedious work. It can be made...

the acute coronary syndrome due to the left main coronary artery (lmca) thrombosis is a clinically rare and catastrophic event.   we describe a young man ( smoker, alcoholic, and drug abuser) with a history of recent surgery and typical chest pain who had non-occlusive lmca thrombosis in coronary angiography. the thrombosis was successfully treated with two 180 µ/kg intracoronary boluses of ept...

The matched filter has been widely used in the detection of blood vessels of the human retina digital image. In this paper, the matched filter response to the detection of blood vessels is increased by proposing better filter parameters. These filter parameters are found by using an optimization procedure on 20 retina images of the DRIVE database. Comparisons with other approaches show that the...