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231224s2012 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2012.2192129
|2 doi
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|a eng
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| 100 |
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|a Cardinale, Janick
|e verfasserin
|4 aut
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| 245 |
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|a Discrete region competition for unknown numbers of connected regions
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|c 2012
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 07.04.2014
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|a Date Revised 06.09.2013
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a We present a discrete, unsupervised multi-region competition algorithm for image segmentation over different energy functionals. The number of regions present in an image does not need to be known a priori, nor their photometric properties. The algorithm jointly estimates the number of regions, their photometries, and their contours. The required regularization is provided by defining a region as a connected set of pixels. The evolving contours in the image are represented by computational particles that move as driven by an energy-minimization algorithm. We present an efficient discrete algorithm that allows minimizing a range of well-known energy functionals under the topological constraint of regions being connected components. The presented framework and algorithms are implemented in the open-source Insight Toolkit (ITK) image-processing library
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Paul, Grégory
|e verfasserin
|4 aut
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|a Sbalzarini, Ivo F
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 21(2012), 8 vom: 21. Aug., Seite 3531-45
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|g pages:3531-45
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