Full-Automatic Optic Disc Boundary Extraction Based on Active Contour Model with Multiple Energies

Yuan GAO  Chengdong WU  Xiaosheng YU  Wei ZHOU  Jiahui WU  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E101-A   No.3   pp.658-661
Publication Date: 2018/03/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E101.A.658
Type of Manuscript: LETTER
Category: Vision
Keyword: 
computer-aided diagnosis,  optic disc segmentation,  active contour models,  shape prior information,  

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Summary: 
Efficient optic disc (OD) segmentation plays a significant role in retinal image analysis and retinal disease screening. In this paper, we present a full-automatic segmentation approach called double boundary extraction for the OD segmentation. The proposed approach consists of the following two stages: first, we utilize an unsupervised learning technology and statistical method based on OD boundary information to obtain the initial contour adaptively. Second, the final optic disc boundary is extracted using the proposed LSO model. The performance of the proposed method is tested on the public DIARETDB1 database and the experimental results demonstrate the effectiveness and advantage of the proposed method.