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
5a259c36-3348-4951-97f5-d591f32d2fc5
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
2010
Cummings, Alastair
5a259c36-3348-4951-97f5-d591f32d2fc5
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Cummings, Alastair and Nixon, Mark
(2010)
Retinal Vessel Extraction with the Image Ray Transform.
International Symposium on Visual Computing, Las Vegas, United States.
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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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Published date: 2010
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Event Dates: November 2010
Venue - Dates:
International Symposium on Visual Computing, Las Vegas, United States, 2010-11-01
Organisations:
Southampton Wireless Group
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Local EPrints ID: 271547
URI: http://eprints.soton.ac.uk/id/eprint/271547
PURE UUID: cb06e290-9c76-4470-8140-330e16ba8ea5
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Date deposited: 13 Sep 2010 12:41
Last modified: 15 Mar 2024 02:35
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Author:
Alastair Cummings
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