Classification of Ocular Disorders Based on Fractal and Invariant Moment Analysis of Retinal Fundus Images

Image analysis of the human eye has provided new insight into ocular disorders and has the potential to assist in their automated diagnosis. We herein report results from analysis of the processed fundus (retina) images from a) healthy subjects and patients diagnosed with b) diabetic retinopathy or c) glaucoma, by means of image fractal analysis and image invariant moments, and linear discriminant analysis (LDA) for classification. Using the fractal dimension and Hu's invariant moments, LDA achieved classification accuracy of 99.2% for the three conditions.