Author:
Bae Egil,Yuan Jing,Tai Xue-Cheng
Publisher
Springer Berlin Heidelberg
Reference23 articles.
1. Bae, E., Tai, X.-C.: Efficient global minimization for the multiphase Chan-Vese model of image segmentation. In: Cremers, D., Boykov, Y., Blake, A., Schmidt, F.R. (eds.) Energy Minimization Methods in Computer Vision and Pattern Recognition 2009. Volume 5681 of Lecture Notes in Computer Science, pp. 28–41. Springer, Berlin/Heidelberg (2009)
2. Bae, E., Yuan, J., Tai, X.-C.: Global minimization for continuous multiphase partitioning problems using a dual approach. Int. J. Comput. Vis. 92, 112–129 (2011)
3. Boykov, Y., Veksler, O., Zabih, R.: Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal. Mach. Intell. 23, 1222–1239 (2001)
4. Brown, E.S., Chan, T.F., Bresson, X.: A convex relaxation method for a class of vector-valued minimization problems with applications to mumford-shah segmentation. UCLA, Applied Mathematics, CAM-report-10-43, Department of Mathematics, UCLA, July 2010
5. Brown, E.S., Chan, T.F., Bresson, X.: Completely convex formulation of the chan-vese image segmentation model. Int. J. Comput. Vis. (2011). doi:10.1007/s11263-011-0499-y
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