Online ISSN: 2515-8260

Author : Balamurugan, Dr.V.


A Novel Fuzzy Knowledge Based Glaucoma System for Diabetic Retinopathy using Vessel Extraction from Fundus Images

R Karthikeyan; Mr. V.R.Sathish Kumar; Dr.V. Balamurugan; Ms. M. ShanmugaPriya

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 846-855

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.