Medical Image Segmentation by Water Flow
Medical Image Segmentation by Water Flow
We present a new image segmentation technique based on the paradigm of water flow and apply it to medical images. The force field analogy is used to implement the major water flow attributes like water pressure, surface tension and adhesion so that the model achieves topological adaptability and geometrical flexibility. A new snake-like force functional combining edge- and region-based forces is introduced to produce capability for both range and accuracy. The method has been assessed qualitatively and quantitatively, and shows decent detection performance as well as ability to handle noise.
Segmentation, Water Flow
Liu, Xin
82424b16-94ac-4de7-972f-b384d98cba3f
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
July 2007
Liu, Xin
82424b16-94ac-4de7-972f-b384d98cba3f
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Liu, Xin and Nixon, Mark
(2007)
Medical Image Segmentation by Water Flow.
Medical Image Understanding and Analysis MIUA 2007, United Kingdom.
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Conference or Workshop Item
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Abstract
We present a new image segmentation technique based on the paradigm of water flow and apply it to medical images. The force field analogy is used to implement the major water flow attributes like water pressure, surface tension and adhesion so that the model achieves topological adaptability and geometrical flexibility. A new snake-like force functional combining edge- and region-based forces is introduced to produce capability for both range and accuracy. The method has been assessed qualitatively and quantitatively, and shows decent detection performance as well as ability to handle noise.
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liu_miua.pdf
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Published date: July 2007
Additional Information:
Event Dates: July 2007
Venue - Dates:
Medical Image Understanding and Analysis MIUA 2007, United Kingdom, 2007-07-01
Keywords:
Segmentation, Water Flow
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 264993
URI: http://eprints.soton.ac.uk/id/eprint/264993
PURE UUID: a8c5303b-ac56-4b9a-8b5f-85ca293c895a
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Date deposited: 04 Jan 2008 10:52
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Xin Liu
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