Zou, B., Liu, Q., Yue, K., Chen, Z., Chen, J., & Zhao, G. (2019). Saliency-Based Segmentation of Optic Disc in Retinal Images. Chinese Journal of Electronics, 28(1), 71–75. https://doi.org/10.1049/cje.2017.12.007
Saliency-based segmentation of optic disc in retinal images
|Author:||Zou, Beiji1; Liu, Qing1; Yue, Kejuan1,2;|
1School of Information Science and Engineering, Central South University, Changsha 410083, China
2Hunan First Normal University, School of Information Science and Engineering, Changsha 410205, China
3Center for Machine Vision and Signal Analysis, University of Oulu, Oulu 90570, Finland
|Online Access:||PDF Full Text (PDF, 0.9 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019070422794
Institution of Electrical Engineers,
|Publish Date:|| 2019-07-04
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. Then 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.
Chinese journal of electronics
|Pages:||71 - 75|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
113 Computer and information sciences
This work was supported by the scholarship from China Scholarship Council (CSC), the National Natural Science Foundation of China (No.61573380, No. 61440055 and No. 61672542), and the Academy of Finland, Tekes Fidipro Program and Infotech Oulu.
© 2017 Chinese Institute of Electronics. Published in this repository with the kind permission of the publisher.