Blood vessel segmentation using hessian matrix for diabetic retinopathy detection

The most common health issue among the people nowadays is diabetes. The diabetic retinopathy (DR) is among one of the diseases lead to sight loss. The blood vessels are representation of retina pathology. Hence, in detection of diabetic retinopathy using image processing blood vessel segmentation is major step. It is challenging task for blood vessel segmentation as they are low contrast and narrow. Improving the blood vessel segmentation is inspiration of the work. In this paper, Hessian matrix is the process used for blood vessel segmentation. Eigen values are calculated based on the Hessian matrix for low frequency of the FFT of green channel of the retinal image.