In this paper the new method for automatic segmentation of blood vessels from fundus eye images is proposed. The proposed method is composed of the following steps; 1) contrast enhancement, 2) denoising, 3) vessels detection, 4) classification.

After the Columbia accident, aged composite overwrapped pressure vessels (COPVs) employed for space missions are being subjected to various examination and monitoring techniques identify different failure modes. As an innovative approach, this paper explores capability of Auto-Regressive model with eXogenous input (ARX) analysis method detect damages/flaws in COPVs utilizing as corresponding st...

Diabetic retinopathy is a progressive eye disease and one of the leading causes of blindness all over the world. New blood vessels (neovascularization) start growing at advance stage of diabetic retinopathy known as proliferative diabetic retinopathy. Early and accurate detection of proliferative diabetic retinopathy is very important and crucial for protection of patient's vision. Automated sy...

Diabetic retinopathy is one of the leading cause of blindness caused due to increase of insulin in blood. It is a progressive disease and needs an early detection and treatment. Proliferative diabetic retinopathy is an advance stage and causes severe visual impairments. Early and accurate detection of proliferative diabetic retinopathy is very important and crucial for protection of patient’s v...

Diabetic retinopathy (DR) is a leading cause of vision loss in diabetic patients. DR is mainly caused due to the damage of retinal blood vessels in the diabetic patients. It is essential to detect and segment the retinal blood vessels for DR detection and diagnosis, which prevents earlier vision loss in diabetic patients. The computer aided automatic detection and segmentation of blood vessels ...

This paper presents new algorithms based on mathematical morphology for the detection of the optic disc and the vascular tree in noisy low contrast color fundus photographs. Both features – vessels and optic disc – deliver landmarks for image registration and are indispensable to the understanding of retinal fundus images. For the detection of the optic disc, we first find the position approxim...