Automated Segmentation of the Optic Disc from Stereo Color Photographs Using Physiologically Plausible Features

Abstract

The pixel feature classification algorithm allows objective segmentation of the optic disc from conventional color stereo photographs automatically without human input. The performance of the disc segmentation and LCDR calculation of the algorithm was comparable to that of glaucoma fellows in training and is promising for objective evaluation of optic disc cupping.