ZOU Beiji, LIU Qing, YUE Kejuan, CHEN Zailiang, CHEN Jie, ZHAO Guoying. Saliency-Based Segmentation of Optic Disc in Retinal Images[J]. Chinese Journal of Electronics, 2019, 28(1): 71-75. doi: 10.1049/cje.2017.12.007
Citation: ZOU Beiji, LIU Qing, YUE Kejuan, CHEN Zailiang, CHEN Jie, ZHAO Guoying. Saliency-Based Segmentation of Optic Disc in Retinal Images[J]. Chinese Journal of Electronics, 2019, 28(1): 71-75. doi: 10.1049/cje.2017.12.007

Saliency-Based Segmentation of Optic Disc in Retinal Images

doi: 10.1049/cje.2017.12.007
Funds:  This work was supported by the scholarship from China Scholarship Council (CSC), the National Natural Science Foundation of China (No.61573380, No.61440055, No.61672542), and the Academy of Finland, Tekes Fidipro Program and Infotech Oulu.
  • Received Date: 2017-02-07
  • Rev Recd Date: 2017-04-07
  • Publish Date: 2019-01-10
  • 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 thestate-of-the-art performance.
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