Abstract

Glaucoma is a chronic eye disease in which the optic nerve head is progressively damaged which leads to loss of vision. Early diagnosis and treatment is the key to preserving sight in people with glaucoma. Current tests using intraocular pressure (IOP) are not sensitive enough for population based glaucoma screening. Assessment of the damaged optic nerve head is both more promising, and superior to IOP measurement or visual field testing. This paper presents superpixel classification based optic disc and optic cup segmentation for glaucoma screening. In optic disc segmentation, histograms and centre surround statistics are used to classify each superpixel as disc or non-disc. For optic cup segmentation, in addition to the histograms and centre surround statistics, the location information is also included into the feature space to boost the performance. The segmented optic disc and optic cup are used to compute the CDR for glaucoma screening. The Cup to Disc Ratio (CDR) of the color retinal fundus camera image is the primary identifier to confirm Glaucoma given patient.

Authors and Affiliations