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231223s2008 xx |||||o 00| ||eng c |
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|a 10.1109/TPAMI.2007.70713
|2 doi
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|a pubmed24n1324.xml
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|a eng
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|a Melonakos, John
|e verfasserin
|4 aut
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|a Finsler active contours
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|c 2008
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|a Text
|b txt
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 28.03.2008
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|a Date Revised 12.03.2024
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|a published: Print
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|a Citation Status MEDLINE
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|a In this paper, we propose an image segmentation technique based on augmenting the conformal (or geodesic) active contour framework with directional information. In the isotropic case, the Euclidean metric is locally multiplied by a scalar conformal factor based on image information such that the weighted length of curves lying on points of interest (typically edges) is small. The conformal factor which is chosen depends only upon position and is in this sense isotropic. While directional information has been studied previously for other segmentation frameworks, here we show that if one desires to add directionality in the conformal active contour framework, then one gets a well-defined minimization problem in the case that the factor defines a Finsler metric. Optimal curves may be obtained using the calculus of variations or dynamic programming based schemes. Finally we demonstrate the technique by extracting roads from aerial imagery, blood vessels from medical angiograms, and neural tracts from diffusion-weighted magnetic resonance imagery
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|a Journal Article
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|a Research Support, N.I.H., Extramural
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|a Research Support, Non-U.S. Gov't
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|a Research Support, U.S. Gov't, Non-P.H.S.
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|a Pichon, Eric
|e verfasserin
|4 aut
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1 |
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|a Angenent, Sigurd
|e verfasserin
|4 aut
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|a Tannenbaum, Allen
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 30(2008), 3 vom: 15. März, Seite 412-23
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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|g volume:30
|g year:2008
|g number:3
|g day:15
|g month:03
|g pages:412-23
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|u http://dx.doi.org/10.1109/TPAMI.2007.70713
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