Abstract
Automatic analysis of retina images is becoming an important screening tool now days. This technique helps to detect various kind of risks and diseases of eyes. One of the most common diseases which cause blindness is Glaucoma. This disease happens due to the increase of Intraocular Pressure (IOP). Early detection of this disease is essential to prevent the permanent blindness. Screenings of glaucoma based on digital images of the retina have been performed in the past few years. Several techniques are there to detect the abnormality of retina due to glaucoma. The key image processing techniques are image registration, image fusion, image segmentation, feature extraction, image enhancement, morphology, pattern matching, image classification, analysis and statistical measurements. The main idea behind this paper is to describe a system which is mainly based on image processing and classification techniques for detection of glaucoma by comparing and measuring different parameters of fundus images of glaucoma patients and normal patients.
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