Iterative Graph Cuts for Image Segmentation with a Nonlinear Statistical Shape Prior-Reference-Cited by-同舟云学术

Iterative Graph Cuts for Image Segmentation with a Nonlinear Statistical Shape Prior

Published:2013-05-04 Issue:1 Volume:49 Page:87-97
ISSN:0924-9907
Container-title:Journal of Mathematical Imaging and Vision
language:en
Short-container-title:J Math Imaging Vis

Author:

Chang Joshua C.,Chou Tom

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Geometry and Topology,Computer Vision and Pattern Recognition,Condensed Matter Physics,Modeling and Simulation,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s10851-013-0440-9.pdf

Reference35 articles.

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2. Boykov, Y., Jolly, M.: Interactive graph cuts for optimal boundary & region segmentation of objects in nd images. In: Proceedings. Eighth IEEE International Conference on Computer Vision, 2001. ICCV 2001, vol. 1, pp. 105–112. IEEE Press, New York (2001)

3. Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. Pattern Anal. Mach. Intell. 26(9), 1124–1137 (2004)

4. Boykov, Y., Veksler, O., Zabih, R.: Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal. Mach. Intell. 23(11), 1222–1239 (2001)

5. Chang, J., Chou, T., Brennan, K.: Tracking monotonically advancing boundaries in image sequences using graph cuts and recursive kernel shape priors. IEEE Trans. Med. Imaging 13(5), 1008–1020 (2012)

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