ABSTRACT
This Chapter summarizes the research, where the glaucoma is a group of eye diseases and has no symptoms and if not detected at an early stage it may cause permanent blindness, it precedes some structural damage to the retina are the marked symptoms of glaucoma. Based on it is diagnosed by examination of size, structure, shape and color of optic disc and optic cup and retinal nerve fiber layer (RNFL), and due to the subjectivity of human due to experience, fatigue factor etc. there was a need for CAD system to manage large volumes of data, provide objective assessments for decision support and help in labor-intensive observer driven tasks used fundus image.
This research work focuses the digital fundus image analysis for glaucoma assessment to develop an automatic glaucoma detection system based on many features evaluation.
