OPTIC DISC AND OPTIC CUP SEGMENTATION FROM COLOR FUNDUS IMAGE FOR GLAUCOMA DETECTION

Author (s) : Ms.M.RADHA & Dr.J.SOWMYA

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Abstract :
Glaucoma is a chronic eye disease that leads to vision loss. In this disease, the optic nerve is progressively damaged. Detection of this Glaucoma is very difficult task and Current tests using intraocular pressure (IOP) are not sensitive enough for population based glaucoma screening. The optic nerve head is also called the optic disc and central bright zone called the optic cup, Optic nerve head assessment in retinal images is more difficult. This paper proposes classification of optic disc based on super pixel and optic cup using vessel bends tracking for glaucoma screening, In optic disc segmentation, histograms is applied to R,G,B,H and S color space, and center surround statistic is calculated  to classify each superpixel as disc or background. A self assessment reliability test is performed to evaluate the quality of the automated optic disc segmentation. In optic cup vessel bends tracking is also included to fine tune the optic cup boundary. Vessel bends are identified using the method of dynamic Region of Support (ROS), optic cup is segmented and also location information is added. Finally segmented optic disc and cup is used to calculate Vertical Cup to Disc Ratio (CDR).  CDR is one of the glaucoma factors and CDR is well accepted and commonly used. A larger CDR indicates a higher risk of glaucoma. This method can be useful for automatic segmentation and glaucoma screening.

Keywords : Glaucoma screening, optic disc segmentation, optic cup segmentation, vessel bends

Conference Date : 17/09/2021

Pages : 46

Paper ID : IESMDT44