Early stage detection of glaucoma and its levels using fundus images of eye

Abstract

Glaucoma is a condition that can cause blindness of eye. It causes the damage of eyes optic nerve. The glaucoma results in the loss of vision. The fundus image can be helpful in detection of glaucoma. In past some experiments were carried out for the detection of this disease such as fast optic Disc segmentation in Retina, Discrete and empirical wavelet transform from fundus images, Intra ocular pressure detection etc. In this paper, an ideal framework is proposed which aims at developing a smart solution that helps in identification of glaucoma using MATLAB software tools. We have collected different fundus images of eyes as a dataset. The pre-processing of the fundus image takes place followed by segmentation and classification. The pre-processing module takes the help of some filters like Gaussian filters and guided image filters for removing the noise. Classification of healthy and diseased eye will help us to proceed for further medication.