research-article

Fast Fundus Optic Disc Localization Based on Main Blood Vessel Extraction

Authors:

Lun YuAuthors Info & Claims

ICMLC '18: Proceedings of the 2018 10th International Conference on Machine Learning and Computing

Pages 242 - 246

https://doi.org/10.1145/3195106.3195162

Published: 26 February 2018 Publication History

Abstract

Optic disc (OD) is one of the most important structures in retina. The automatic detection of OD is essential to make Diabetic retinopathy examination more effective. In this paper, a fast optic disc localization algorithm is described. Our approach begins with pre-processing, and then the main vessels in fundus images are extracted based on morphology methods. In the next step, parabolic fitting algorithm by the least square method is applied to express the main vessels. Finally, we judge the fitting result and defined the apex as the OD center. The proposed method was evaluated in 3 public datasets. An average accuracy of 99.05% at the average time of 1.08 second was achieved.

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Cited By

Yin YFeng FDu Q(2023)A Fast Optic Disc Location Scheme in Retinal ImageProceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering10.1145/3650400.3650520(720-725)Online publication date: 20-Oct-2023
https://dl.acm.org/doi/10.1145/3650400.3650520
Hasan MAlam MElahi MRoy SMartí R(2021)DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy imageArtificial Intelligence in Medicine10.1016/j.artmed.2020.102001111(102001)Online publication date: Jan-2021
https://doi.org/10.1016/j.artmed.2020.102001

Index Terms

Fast Fundus Optic Disc Localization Based on Main Blood Vessel Extraction
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Image processing

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cover image ACM Other conferences

ICMLC '18: Proceedings of the 2018 10th International Conference on Machine Learning and Computing

February 2018

411 pages

ISBN:9781450363532

DOI:10.1145/3195106

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Southwest Jiaotong University

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New York, NY, United States

Publication History

Published: 26 February 2018

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ICMLC 2018

ICMLC 2018: 2018 10th International Conference on Machine Learning and Computing

February 26 - 28, 2018

Macau, China

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Cited By

Yin YFeng FDu Q(2023)A Fast Optic Disc Location Scheme in Retinal ImageProceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering10.1145/3650400.3650520(720-725)Online publication date: 20-Oct-2023
https://dl.acm.org/doi/10.1145/3650400.3650520
Hasan MAlam MElahi MRoy SMartí R(2021)DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy imageArtificial Intelligence in Medicine10.1016/j.artmed.2020.102001111(102001)Online publication date: Jan-2021
https://doi.org/10.1016/j.artmed.2020.102001

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