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International Journal of Biomedical Imaging
Volume 2015, Article ID 528626, 14 pages
http://dx.doi.org/10.1155/2015/528626
Research Article

Optic Disc Segmentation by Balloon Snake with Texture from Color Fundus Image

1School of Information & Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China
2Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang 110819, China

Received 9 December 2014; Revised 10 February 2015; Accepted 26 February 2015

Academic Editor: Michael W. Vannier

Copyright © 2015 Jinyang Sun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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