Optic Disc Localization in Retinal Images Based on Cumulative Sum Fields

This paper describes an automatic method for the optic disc localization in retinal images, which is effective and reliable with multiple datasets. Particularly, the described method reveals very effective dealing with retinal images with large pathological signs. The algorithm begins with a new ves...

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Bibliographic Details
Published in:IEEE journal of biomedical and health informatics 2016-03, Vol.20 (2), p.574-585
Main Authors: Soares, Ivo, Castelo-Branco, Miguel, Pinheiro, Antonio M. G.
Format: Article
Language:English
Subjects:
Adaptive optics
Algorithms
Biomedical optical imaging
Blood vessels
Datasets
Diagnostic Techniques, Ophthalmological
Disks
Equations
Humans
Image detection
Image Processing, Computer-Assisted - methods
Informatics
Localization
Mathematical analysis
Mathematical model
optic disc localization
Optic Disk - diagnostic imaging
Optical imaging
Position (location)
Retina
Retinal image analysis
Retinal images
Retinal Vessels - diagnostic imaging
retinal vessels enhancement
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Summary:This paper describes an automatic method for the optic disc localization in retinal images, which is effective and reliable with multiple datasets. Particularly, the described method reveals very effective dealing with retinal images with large pathological signs. The algorithm begins with a new vessel enhancement method based on a modified corner detector. Subsequently, a weighted version of the vessel enhancement is combined with morphological operators, to detect the four main vessels orientations {0°, 45°, 90°, 135°}. These four image functions have all the necessary information to determine an initial optic disc localization, resulting in two images that are respectively divided along the vertical or horizontal orientations with different division sizes. Each division is averaged creating a 2-D step function, and a cumulative sum of the different sizes step functions is calculated in the vertical and horizontal orientations, resulting in an initial optic disc position. The final optic disc localization is determined by a vessel convergence algorithm using its two most relevant features; high vasculature convergence and high intensity values. The proposed method was evaluated in eight publicly available datasets, including the STARE and DRIVE datasets. The optic disc was localized correctly in 1752 out of the 1767 retinal images (99.15%) with an average computation time of 18.34 s.
ISSN:2168-2194
2168-2208
DOI:10.1109/JBHI.2015.2392712