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Retinal Vessel Extraction with the Image Ray Transform

Retinal Vessel Extraction with the Image Ray Transform
Retinal Vessel Extraction with the Image Ray Transform
Extraction of blood vessels within the retina is an important task that can help in detecting a number of diseases, including diabetic retinopathy. Current techniques achieve good, but not perfect performance and this suggests that improved preprocessing may be needed. The image ray transform is a method to highlight tubular features (such as blood vessels) based upon an analogy to light rays. The transform has been employed to enhance retinal images from the DRIVE database, and a simple classification technique has been used to show the potential of the transform as a preprocessor for other supervised learning techniques. Results also suggest potential for using the ray transform to detect other features in the fundus images, such as the fovea and optic disc.
Cummings, Alastair
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Nixon, Mark
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Cummings, Alastair
5a259c36-3348-4951-97f5-d591f32d2fc5
Nixon, Mark
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Cummings, Alastair and Nixon, Mark (2010) Retinal Vessel Extraction with the Image Ray Transform. International Symposium on Visual Computing, United States.

Record type: Conference or Workshop Item (Other)

Abstract

Extraction of blood vessels within the retina is an important task that can help in detecting a number of diseases, including diabetic retinopathy. Current techniques achieve good, but not perfect performance and this suggests that improved preprocessing may be needed. The image ray transform is a method to highlight tubular features (such as blood vessels) based upon an analogy to light rays. The transform has been employed to enhance retinal images from the DRIVE database, and a simple classification technique has been used to show the potential of the transform as a preprocessor for other supervised learning techniques. Results also suggest potential for using the ray transform to detect other features in the fundus images, such as the fovea and optic disc.

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More information

Published date: 2010
Additional Information: Event Dates: November 2010
Venue - Dates: International Symposium on Visual Computing, United States, 2010-11-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 271547
URI: http://eprints.soton.ac.uk/id/eprint/271547
PURE UUID: cb06e290-9c76-4470-8140-330e16ba8ea5
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 13 Sep 2010 12:41
Last modified: 20 Jul 2019 01:28

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Contributors

Author: Alastair Cummings
Author: Mark Nixon ORCID iD

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