Indian Journal of Science and Technology

Abstract

Objectives: To find the presence of glaucoma disease in eyes. It has to be found at the earlier stages; otherwise it will cause permanent damage to eyes. Methods/Statistical Analysis: Fundoscopy is one of the methods available to find the glaucoma disease. This is based on biomedical technique which sometimes may not able to reveal the presence of glaucoma. So a new unique method has to generated. By using hybrid feature set from the digitalized fundus images, it can be easily detected. Findings: The glaucoma disease is one which affects millions of people across the world as found by WHO. Worldwide, the number of people with glaucoma was estimated at over 64.3 million in 2013, and is expected to increase to 76.0 million in 2020. The eye needs a certain amount of pressure to keep the eyeball in shape so that it can work properly. In some people, the damage is caused by raised eye pressure. Others may have an eye pressure within normal limits but damage occurs because there is a weakness in the optic nerve. In most cases both factors are involved but to a varying extent. Application/Improvements: The structural features taken from the image can help us to improve the findings of the glaucoma disease. The parameters will give complete information on the impact on the eyes. These details will help us in detecting the disease at a earlier stage than at a later stage.