Saliency-Based Segmentation of Optic Disc in Retinal Images?

• 作者: CHEN Jie CHEN Zailiang LIU Qing YUE Kejuan ZHAO Guoying ZOU Beiji
• 来源期刊: 中国电子杂志（英文版）
• 年，卷（期）: 2019,（1）
• 页码范围: 71-75
• 页数: 5页
• 语种: 英文
• DOI: 10.1049/cje.2017.12.007

摘要

Accurate segmentation of Optic disc (OD) is significant for the automation of retinal analysis and retinal diseases screening. This paper proposes a novel optic disc segmentation method based on the saliency. It includes two stages: optic disc location and saliency-based segmentation. In the location stage, the OD is detected using a matched template and the density of the vessels. In the segmentation stage, we treat the OD as the salient object and formulate it as a saliency detection problem. To measure the saliency of a region, the boundary prior and the connectivity prior are exploited. Geodesic distance to the window boundary is computed to measure the cost the region spends to reach the window boundary. After a threshold and ellipse fitting, we obtain the OD. Experimental results on two public databases for OD segmentation show that the proposed method achieves the-state-of-the-art performance.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	ZOU Beiji		2	24	1.0	2.0
2	LIU Qing		1	0	0.0	0.0
3	YUE Kejuan		1	0	0.0	0.0
4	CHEN Zailiang		1	0	0.0	0.0
5	CHEN Jie		1	0	0.0	0.0
6	ZHAO Guoying		1	0	0.0	0.0