Localization and segmentation of optic disc in retinal images using circular Hough transform and grow-cut algorithm
- Submitting institution
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Kingston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-08-1342
- Type
- D - Journal article
- DOI
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10.7717/peerj.2003
- Title of journal
- PeerJ
- Article number
- -
- First page
- e2003
- Volume
- 4
- Issue
- -
- ISSN
- 2167-8359
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
-
-
- Citation count
- 45
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents an algorithm, based on a combination of morphological operators, circular Hough transform and the grow-cut algorithm, to detect the optic disc and segment the boundary of the disc in retinal fundus images. The performance of the algorithm was demonstrated to be robust across five different public datasets.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -