Detection of Glaucoma using image processing techniques: A review

This paper presents a succinct of different types of image processing methods employed for the detection of Glaucoma, most lethal eye disease. Glaucoma affects the optic nerve as a consequence of which loss of ganglia cells in retina of the eye come about and this loss eventually leads to loss of vision. The principal cause of it is increased intraocular pressure which scathes the optic nerve. There are two main types of Glaucoma, open angle and angle closure glaucoma which are responsible for increase in intraocular pressure. In the early stages of glaucoma no perceptible symptoms appears. As the disease progresses, vision starts becomes hazy and afterwards leads to the loss of vision. Therefore, early detection of glaucoma is needed to prevent loss of vision. Manual analysis of ophthalmic images is time consuming and accuracy depends on the expertise of the professionals. Automatic analysis of retinal images is becoming an important tool nowadays. Automation aids in detection, diagnosis and prevention of risks associated with the disease. Fundus images obtained from fundus camera have been used for the analysis. The techniques mentioned in the present review has certain advantages and disadvantages. Based on this study, one can easily determine which technique provides optimum result.