Multiphase Image Segmentation Using the Deformable Simplicial Complex Method. Dahl, V., A., Christiansen, A., N., & Baerentzen, J., A. In 2014 22nd International Conference on Pattern Recognition, pages 1002-1007, 8, 2014. IEEE.
Multiphase Image Segmentation Using the Deformable Simplicial Complex Method [link]Website  abstract   bibtex   
The deformable simplicial complex method is a generic method for tracking deformable interfaces. It provides explicit interface representation, topological adaptivity, and multiphase support. As such, the deformable simplicial complex method can readily be used for representing active contours in image segmentation based on deformable models. We show the benefits of using the deformable simplicial complex method for image segmentation by segmenting an image into a known number of segments characterized by distinct mean pixel intensities.
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 title = {Multiphase Image Segmentation Using the Deformable Simplicial Complex Method},
 type = {inProceedings},
 year = {2014},
 identifiers = {[object Object]},
 keywords = {ACTIVE CONTOURS,LEVEL SET APPROACH,MODEL,MUMFORD},
 pages = {1002-1007},
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 month = {8},
 publisher = {IEEE},
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 created = {2015-11-15T22:14:51.000Z},
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 abstract = {The deformable simplicial complex method is a generic method for tracking deformable interfaces. It provides explicit interface representation, topological adaptivity, and multiphase support. As such, the deformable simplicial complex method can readily be used for representing active contours in image segmentation based on deformable models. We show the benefits of using the deformable simplicial complex method for image segmentation by segmenting an image into a known number of segments characterized by distinct mean pixel intensities.},
 bibtype = {inProceedings},
 author = {Dahl, Vedrana Andersen and Christiansen, Asger Nyman and Baerentzen, Jakob Andreas},
 booktitle = {2014 22nd International Conference on Pattern Recognition}
}

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