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Objective: Glaucoma is a chronic eye defect that causes parmanent loss of vision.it is second major cause behind blindness.in this desease optic nerve slowly gets damaged .In early stages of glaucoma patient has no symptoms and no pain.by the time glaucoma affects the side or peripheral visions causing partial blindness, and will turn into complete blindness if not dignosed with in time.because the effect is complete irrversible. Cup to disc ratio is the useful in glaucoma screening .In this paper we offer a novel method for CDR assessment that is superpixel segmentation .SLIC algoritham is used for superpixel generation. In the praposed method optic disc is first segmented and reconstructed using superpixel classification

CDR Assessment with Superpixel Segmentation an Effort towards Automatic Glaucoma Detection