A Robust Snake Implementation: A Dual Active Contour
A Robust Snake Implementation: A Dual Active Contour
A conventional active contour formulation suffers difficulty in appropriate choice of an initial contour and values of parameters. Recent approaches have aimed to resolve these problems but can compromise other performance aspects. To relieve the problem in initialisation, we use a dual active contour, which is combined with a local shape model to improve the parameterisation. One contour expands from inside the target feature, the other contracts from the outside. The two contours are inter-linked to provide a balanced technique with an ability to reject weak local energy minima.
63--68
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Nixon, M.S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
1997
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Nixon, M.S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Gunn, S.R. and Nixon, M.S.
(1997)
A Robust Snake Implementation: A Dual Active Contour.
IEEE Trans. on Pattern Analysis and Machine Intelligence, 19 (1), .
Abstract
A conventional active contour formulation suffers difficulty in appropriate choice of an initial contour and values of parameters. Recent approaches have aimed to resolve these problems but can compromise other performance aspects. To relieve the problem in initialisation, we use a dual active contour, which is combined with a local shape model to improve the parameterisation. One contour expands from inside the target feature, the other contracts from the outside. The two contours are inter-linked to provide a balanced technique with an ability to reject weak local energy minima.
This record has no associated files available for download.
More information
Published date: 1997
Organisations:
Electronic & Software Systems, Southampton Wireless Group
Identifiers
Local EPrints ID: 250036
URI: http://eprints.soton.ac.uk/id/eprint/250036
PURE UUID: ea7365ce-ddee-42be-8033-ec60f866414d
Catalogue record
Date deposited: 29 Oct 2001
Last modified: 09 Jan 2022 02:33
Export record
Contributors
Author:
S.R. Gunn
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics