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Automatic Optic Disc Detection in Color Retinal Images by Local Feature Spectrum Analysis
Joint Authors
Yu, Xiaosheng
Yi, Yugen
Zhou, Wei
Wu, Hao
Wu, Chengdong
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The optic disc is a key anatomical structure in retinal images.
The ability to detect optic discs in retinal images plays an important role in automated screening systems.
Inspired by the fact that humans can find optic discs in retinal images by observing some local features, we propose a local feature spectrum analysis (LFSA) that eliminates the influence caused by the variable spatial positions of local features.
In LFSA, a dictionary of local features is used to reconstruct new optic disc candidate images, and the utilization frequencies of every atom in the dictionary are considered as a type of “spectrum” that can be used for classification.
We also employ the sparse dictionary selection approach to construct a compact and representative dictionary.
Unlike previous approaches, LFSA does not require the segmentation of vessels, and its method of considering the varying information in the retinal images is both simple and robust, making it well-suited for automated screening systems.
Experimental results on the largest publicly available dataset indicate the effectiveness of our proposed approach.
American Psychological Association (APA)
Zhou, Wei& Wu, Hao& Wu, Chengdong& Yu, Xiaosheng& Yi, Yugen. 2018. Automatic Optic Disc Detection in Color Retinal Images by Local Feature Spectrum Analysis. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1131804
Modern Language Association (MLA)
Zhou, Wei…[et al.]. Automatic Optic Disc Detection in Color Retinal Images by Local Feature Spectrum Analysis. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1131804
American Medical Association (AMA)
Zhou, Wei& Wu, Hao& Wu, Chengdong& Yu, Xiaosheng& Yi, Yugen. Automatic Optic Disc Detection in Color Retinal Images by Local Feature Spectrum Analysis. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1131804
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131804