The fuzzy knowledge based on the glaucoma will be designed for the working location of the private opthomoligist. The status of various circumstances of the patient’s will be implemented by a modular decision method with help of monitor detection. The modular decision technique will consist of fuzzy standards and neural classifiers. This technique can able to process the perimetry and fundus images. The diabetic retinopathy (DR) is a one mode of diabetes complication and it will have strong impact on the eyes of a human body. This disease will be caused by destruct to the blood vessels at the retina. Initially the diabetic retinopathy may not have any symptoms and it just causes a little vision issue. The diabetic retinopathy will have different treatments like intravitreal clinical treatment and sutureless standards plana vitrectomy. These treatments will provide a great relief to the disease related to eyes. The vessel extraction approach dependent on image improvement procedures and individualgrouping strategies incorporate fuzzy technique. The photographicof the rear eye will be called as fundus images. The vessel extraction from retinal fundus images will able to determine the various ophthalmologic sicknesses like diabetic retinopathy, glaucoma and hypertension. It is a difficult challenge because of presence of various noises embedded with thin vessels. In this paper, the visibility issue of the eye will be detected based on fuzzy knowledge using glaucoma and will capture the fundus images with help of the process of vessel extraction.