Fine segmentation of fundus optic disc based on SLIC superpixel

Abstract

The optic disc is the origin of the optic nerve, which is considered to be one of the main structures of the retina. In many automatic resection algorithms for retinal anatomy and lesions, optic disc detection is a key pre-processing component and a relevant module for most retinal lesion screening systems. The method based on Simple linear iterative clustering(SLIC) superpixel segmentation of the fundus optic disc studied in this paper is mainly to better achieve the detection of hard exudation of diabetic retinal images. Because the color of diabetic retinopathy is similar to the fundus exudate, the optic disc as a false alarm source is often considered as one or more exudate candidate areas. Therefore, correct positioning and segmentation of the optic disc can improve the accuracy of the detection of exudate candidate regions.