چکیده (انگلیسی):

Glaucoma is a disease which affects the eye and causes blindness. It is an ophthalmologist disease
characterized by an increase in Intraocular Pressure (IOP). 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 (FCM) 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. The first and foremost step is
preprocessing operation, in which the optic cup and disk of the input image is being rotated. Initially
the optic disk is rotated in some angle and the distance between the data points are measured and a
cluster is formed based on the centroid. The centroid and data point along with the cluster can be
identified in each step then the common set of points is clustered together. 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.