A well-established method for diagnosis of glaucoma is the examination of the optic nerve head based on fundus image as\nglaucomatous patients tend to have larger cup-to-disc ratios. The difficulty of optic segmentation is due to the fuzzy boundaries\nand peripapillary atrophy (PPA). In this paper a novel method for optic nerve head segmentation is proposed. It uses template\nmatching to find the region of interest (ROI). The method of vessel erasing in the ROI is based on PDE inpainting which will make\nthe boundary smoother. A novel optic disc segmentation approach using image texture is explored in this paper. A cluster method\nbased on image texture is employed before the optic disc segmentation step to remove the edge noise such as cup boundary and\nvessels. We replace image force in the snake with image texture and the initial contour of the balloon snake is inside the optic\ndisc to avoid the PPA.The experimental results show the superior performance of the proposed method when compared to some\ntraditional segmentation approaches. An average segmentation dice coefficient of 94% has been obtained.
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