A Novel Approach for Glaucoma Detection Using Fractal Analysis

Abstract

Glaucoma is an ocular disorder in which severe damage to the optic nerve leads to vision loss. Glaucoma identification involves the measurement of shape and size of optic cup. Due to the interweavement of optic cup with blood vessels the optic cup segmentation is bit tedious task. Pre-processing followed by K-means clustering is used for optic cup segmentation which is further processed to find it’s dimension. Based on the fact that the fractal dimension is used to find the dimension of irregular objects, a novel approach is proposed for glaucoma detection using perimeter method of fractal analysis. Experimental results show that the fractal algorithm accurately detects the glaucoma.