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

Yuan GAO; Chengdong WU; Xiaosheng YU; Wei ZHOU; Jiahui WU

doi:10.1587/transfun.E101.A.658

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

Yuan GAO, Chengdong WU, Xiaosheng YU, Wei ZHOU, Jiahui WU

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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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.3 pp.658-661

Publication Date: 2018/03/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E101.A.658

Type of Manuscript: LETTER

Category: Vision

Authors

Yuan GAO
  Northeastern University
Chengdong WU
  Northeastern University
Xiaosheng YU
  Northeastern University
Wei ZHOU
  Northeastern University
Jiahui WU
  Northeastern University

Keyword

computer-aided diagnosis, optic disc segmentation, active contour models, shape prior information

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Yuan GAO, Chengdong WU, Xiaosheng YU, Wei ZHOU, Jiahui WU, "Full-Automatic Optic Disc Boundary Extraction Based on Active Contour Model with Multiple Energies" in IEICE TRANSACTIONS on Fundamentals, vol. E101-A, no. 3, pp. 658-661, March 2018, doi: 10.1587/transfun.E101.A.658.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.658/_p

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@ARTICLE{e101-a_3_658,
author={Yuan GAO, Chengdong WU, Xiaosheng YU, Wei ZHOU, Jiahui WU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Full-Automatic Optic Disc Boundary Extraction Based on Active Contour Model with Multiple Energies},
year={2018},
volume={E101-A},
number={3},
pages={658-661},
abstract={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.},
keywords={},
doi={10.1587/transfun.E101.A.658},
ISSN={1745-1337},
month={March},}

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TY - JOUR
TI - Full-Automatic Optic Disc Boundary Extraction Based on Active Contour Model with Multiple Energies
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 658
EP - 661
AU - Yuan GAO
AU - Chengdong WU
AU - Xiaosheng YU
AU - Wei ZHOU
AU - Jiahui WU
PY - 2018
DO - 10.1587/transfun.E101.A.658
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2018
AB - 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.
ER -