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Automatic Optic Disc Segmentation Based on Modified Local Image Fitting Model with Shape Prior Information
Joint Authors
Yu, Xiaosheng
Zhou, Wei
Gao, Yuan
Wu, Chengdong
Lei, Xiaoliang
Zhuang, Yaoming
Source
Journal of Healthcare Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Accurate optic disc (OD) detection is an essential yet vital step for retinal disease diagnosis.
In the paper, an approach for segmenting OD boundary without manpower named full-automatic double boundary extraction is designed.
There are two main advantages in it.
(1) Since the performances and the computational cost produced by iterations of contour evolution of active contour models- (ACM-) based approaches greatly depend on the initialization, this paper proposes an effective and adaptive initial level set contour extraction approach using saliency detection and threshold techniques.
(2) In order to handle unreliable information generated by intensity in abnormal retinal images caused by diseases, a modified LIF approach is presented by incorporating the shape prior information into LIF.
We test the effectiveness of the proposed approach on a publicly available DIARETDB0 database.
Experimental results demonstrate that our approach outperforms well-known approaches in terms of the average overlapping ratio and accuracy rate.
American Psychological Association (APA)
Gao, Yuan& Yu, Xiaosheng& Wu, Chengdong& Zhou, Wei& Lei, Xiaoliang& Zhuang, Yaoming. 2019. Automatic Optic Disc Segmentation Based on Modified Local Image Fitting Model with Shape Prior Information. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1175093
Modern Language Association (MLA)
Gao, Yuan…[et al.]. Automatic Optic Disc Segmentation Based on Modified Local Image Fitting Model with Shape Prior Information. Journal of Healthcare Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1175093
American Medical Association (AMA)
Gao, Yuan& Yu, Xiaosheng& Wu, Chengdong& Zhou, Wei& Lei, Xiaoliang& Zhuang, Yaoming. Automatic Optic Disc Segmentation Based on Modified Local Image Fitting Model with Shape Prior Information. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1175093
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175093