Water flow based vessel detection in retinal images
Water flow based vessel detection in retinal images
Previous vessel segmentation methods mainly concentrate on the general structure, and often ignore the accuracy, smoothness and continuity of vessel boundaries. A water flow based method is proposed to solve the problem. It embodies the fluidity of water and hence can handle the complex topological changes of vessels. A snake-like force functional combining edge-based and region-based forces produces capability for both accuracy and range. Properties analogous to surface tension and adhesion are also applied so that the smoothness of the evolving contour and the ability to flow into narrow branches can be controlled. The technique has been assessed on synthetic and real images, and shows excellent detection performance and ability to handle noise.
water flow, physical analogy, vessel segmentation, active contour, medical imaging
0 86341 671 3
345-350
Liu, Xin U
89b89a43-46f5-470c-9f82-c5d5f59c12db
Nixon, Mark S
2b5b9804-5a81-462a-82e6-92ee5fa74e12
2006
Liu, Xin U
89b89a43-46f5-470c-9f82-c5d5f59c12db
Nixon, Mark S
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Liu, Xin U and Nixon, Mark S
(2006)
Water flow based vessel detection in retinal images.
IET International Conference on Visual Information Engineering 2006, Bangalore, India.
26 - 28 Sep 2006.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
Previous vessel segmentation methods mainly concentrate on the general structure, and often ignore the accuracy, smoothness and continuity of vessel boundaries. A water flow based method is proposed to solve the problem. It embodies the fluidity of water and hence can handle the complex topological changes of vessels. A snake-like force functional combining edge-based and region-based forces produces capability for both accuracy and range. Properties analogous to surface tension and adhesion are also applied so that the smoothness of the evolving contour and the ability to flow into narrow branches can be controlled. The technique has been assessed on synthetic and real images, and shows excellent detection performance and ability to handle noise.
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Water_Flow_Based_Vessel_Detection_in_Retinal_Images.pdf
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More information
Published date: 2006
Additional Information:
Event Dates: 26-28 Sept. 2006
Venue - Dates:
IET International Conference on Visual Information Engineering 2006, Bangalore, India, 2006-09-26 - 2006-09-28
Keywords:
water flow, physical analogy, vessel segmentation, active contour, medical imaging
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 263957
URI: http://eprints.soton.ac.uk/id/eprint/263957
ISBN: 0 86341 671 3
PURE UUID: f994a150-58df-492f-a69c-719d36426bbb
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Date deposited: 01 May 2007
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Xin U Liu
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