Automated Detection of Glaucoma Using Image Processing Techniques

Abstract

Glaucoma is one of the most dreaded eye diseases and is a chronically progressive and ischaemic optical neuropathy leading to deterioration of vision generally caused due to increased pressure caused by increasing aqueous humour inside the eye. This is caused either due to reduced drainage or sometimes due to increased secretion. It causes damage of ischaemic to the optic nerve which results in nerve fibre layer damage and permanent loss of vision. Two kinds of primary Glaucoma are there, namely wide-angle glaucoma and narrow-angle glaucoma which have diverse mechanism of lessening watery surge and are in charge of increment in intraocular pressure. In the beginning of glaucoma, no detectable side effects show up. As the ailment advances, vision exacerbates and harm to visual field occurs. If undetected and untreated, it results in complete vision loss. Manual investigation of ophthalmic images is tedious, and accuracy relies upon the skill of the experts. Programmed examination of retinal pictures is turning out to be of great importance these days. It helps in detecting, diagnosing and anticipating of dangers related with glaucoma. Fundus pictures acquired from fundus camera have been utilized for the investigation. The systems specified in the present survey have certain positive and negative points. In view of this investigation, one can undoubtedly figure out which strategy gives the ideal outcome.