Automatic Evaluation and Predictive Analysis of Optic Nerve Head for the Detection of Glaucoma

摘要

The automatic retinal image analysis is emerging as one of the most important primary screening tools for early detection and treatment for eye diseases. Glaucoma is a severe human eye disease leading to the permanent loss of vision. The manual examination of optic nerve head of the retina using Color Fundus Imaging (CFI) is a standard procedure used for predicting glaucoma, but the detection and diagnosis varies widely across different ophthalmologists. In this paper we present an automatic technique for the segmentation of the cup region from the optical disc(OD) region in RGB channels to calculate the parameters used for the predictive analysis of glaucoma. The accurate segmentation of the cup region and the optical disc from the retinal fundus image serves as an important step for the calculation of cup-to-disc area ratio (ACDR). The quantitative evaluation of this predictive analysis is done on a freely available database with a result accuracy of 83.168%.