Abstract
Glaucoma is the second leading cause of blindness in the world. It is estimated that 66.8 million people in the world have glaucoma, with 6.7 million bilaterally blind from this disease. There are no early symptoms of glaucoma and the only source to detect glaucoma at early stage is the structural change that arises in the internal eye. Many autonomous glaucoma detection systems analyze fundus image by calculating its Cup to Disc Ratio (CDR) and categorize the image as glaucoma or healthy. This paper is on image processing technique for the early detection of glaucoma. In this paper glaucoma is detected using retinal fundus image. CDR technique is used on different retinal image for glaucoma detection. Further, analysis of CDR is carried out using different color channel combinations of the fundus images.
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