EXTRACTION OF RETINAL BLOOD VESSEL BY COMBINING GABOR FILTER AND GENERALIZED LINEAR MODEL

Here we are combining Gabor filter and Generalized Linear Model (GLM) for extraction of blood vessels of retina, with this use clarity in extraction can be improved. Since retina is a complex and delicate ocular structure, a huge effort in computer vision is devoted to study blood vessels network for helping the diagnosis of pathologies like diabetic retinopathy, hypertension retinopathy, retinopathy of prematurity or glaucoma. To carry out this process many works for normal and abnormal images have been proposed recently. These methods include combinations of algorithms like Gabor filters, histogram equalization, combined corner/edge detectors, neural networks, morphological operators etc. To apply these algorithms pre-processing tasks are needed. Most of these algorithms have been tested on publicly retinal databases. This paper presents a review of algorithms for detection of blood vessels by combining Gabor filter and generalized linear model from retinal images.