A MODIFIED SPATIAL FUZZY C-MEANS CLUSTERING ALGORITHM FOR DETECTING GLAUCOMAIN RETINAL FUNDUS IMAGES

Glaucoma is a disease which affects the eye and causes blindness. It is an ophthalmologist disease characterized by an increase in Intraocular Pressure. The glaucoma usually affects the optic disc on the retina which increases the cup size. There are various parameters to identify and diagnose glaucoma. The clustering technique is introduced to detect the glaucoma from the optic disc and cup in the retinal fundus images. Fuzzy C Means Clustering is used for clustering the data in which the data points are clustered with different membership degree. But it does not fully utilize the spatial information in the image. The Modified Spatial Fuzzy C-Means clustering with spatial rotation has been proposed to detect glaucoma in retinal fundus images. This process continues until no more centroid is found. The cluster with more data points that do not match with the original image is considered as the retinal image with glaucoma disease. In future, this algorithm can be extended to larger clinical databases, in order to identify the glaucoma at the maximum level.