An Empirical Study of Image Processing Techniques for the Diagnosis of Glaucoma from Optical Coherence Tomography and Fundus Images

Glaucoma is one of the second leading cause of blindness in India. It cannot be cured when it doesn’t presage in an accurate time. 90% of people have never been diagnosed before in India. According to the World Health Organization statistics, one in eight persons above the age of 40 getting are affected from Glaucoma or lead to cause of death. It can be diagnosed by two types of images such as Optical Coherence Tomography and Fundus images for early detection and to prevent the loss of vision. It is mainly used for analyzing the disease or tissue structure which is very useful for doctors to get clear idea about biomedical image. This paper presents the latest survey for diagnosing Glaucoma by using proposed image processing techniques in various stages such as Preprocessing, Image Resizing, Feature Extraction, Segmentation and Classifi cation which are used frequently, it will be more useful for research persons for doing their research in Glaucoma. The deliberate research work is to detect accurately and monitoring its progress quickly.