DocumentCode :
1403933
Title :
A robust snake implementation; a dual active contour
Author :
Gunn, Steve R. ; Nixon, Mark S.
Author_Institution :
Dept. of Electron. & Comput. Sci., Southampton Univ., UK
Volume :
19
Issue :
1
fYear :
1997
fDate :
1/1/1997 12:00:00 AM
Firstpage :
63
Lastpage :
68
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 initialization, we use a dual active contour, which is combined with a local shape model to improve the parameterization. One contour expands from inside the target feature, the other contracts from the outside. The two contours are interlinked to provide a balanced technique with an ability to reject “weak” local energy minima
Keywords :
edge detection; dual active contour; initialization; local shape model; robust snake implementation; weak local energy minimum rejection; Active contours; Active shape model; Computer vision; Contracts; Data mining; Energy measurement; Energy resolution; Feature extraction; Gunn devices; Image edge detection; Pattern analysis; Robustness; Shape measurement; Signal resolution;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.566812
Filename :
566812
Link To Document :
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