Convex multi-region probabilistic segmentation with shape prior in the isometric log-ratio transformation space

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 2096-2103

  Andrews, Shawn ^a   McIntosh, Chris ^a   Hamarneh, Ghassan ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ENERGY FUNCTIONS; MULTIPLE REGIONS; SEGMENTATION METHODS; SHAPE PRIORS;

ELECTRICAL ENGINEERING;

IMAGE SEGMENTATION;

EID: 84856682725     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126484     Document Type: Conference Paper

References (27)

1. J. Aitchison. The statistical analysis of compositional data. Journal of the Royal Statistical Society. Series B (Methodological), pages 139-177, 1982.
2. S. Andrews, G. Hamarneh, A. Yazdanpanah, B. HajGhanbari, andW. D. Reid. Probabilistic multi-shape segmentation of knee extensor and flexor muscles. In MICCAI, 2011.
3. S. Andrews, C. McIntosh, and G. Hamarneh. Convex multiregion probabilistic segmentation with shape prior in the isometric logratio transformation space. Technical Report TR 2011-03, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, July 2011.
4. E. Brown, T. Chan, and X. Bresson. Convex formulation and exact global solutions for multi-phase piecewise constant Mumford-Shah image segmentation. Technical report, UCLA CAM Report, July 2009.
5. T. Chan, S. Esedoglu, and M. Nikolova. Algorithms for finding global minimizers of image segmentation and denoising models. Algorithms, 66(5):1632-1648, 2004.
6. N. Changiziand G. Hamarneh. Probabilistic multi-shape representation using an isometric log-ratio mapping. In MICCAI, pages 563-570. Springer, 2010.
7. T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham. Active shape models-their training and application. CVIU, 61(1):38-59, 1995.
8. D. Cremers. Dynamical statistical shape priors for level setbased tracking. TPAMI, 28(8):1262-1273, 2006.
9. D. Cremers, F. Schmidt, and F. Barthel. Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions. In CVPR, pages 1-6, 2008.
10. A. Delong and Y. Boykov. Globally optimal segmentation of multi-region objects. In ICCV, pages 285-292, 2009.
11. J. Egozcue, V. Pawlowsky-Glahn, G. Mateu-Figueras, and C. Barceló-Vidal. Isometric logratio transformations for compositional data analysis. Mathematical Geology, 35(3):279-300, 2003.
12. L. Grady. Multilabel random walker image segmentation using prior models. In CVPR, pages 763-770, 2005.
13. G. Hamarneh, P. Jassi, and L. Tang. Simulation of groundtruth validation data via physically-and statistically-based warps. In MICCAI, pages 459-467. Springer, 2008.
14. H. Ishikawa. Exact optimization for Markov random fields with convex priors. TPAMI, 25(10):1333-1336, 2003.
15. M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active contour models. IJCV, 1(4):321-331, 1988.
16. J. Lellmann, F. Becker, and C. Schnorr. Convex optimization for multi-class image labeling with a novel family of total variation based regularizers. In ICCV, pages 646-653, 2009.
17. M. Leventon,W. Grimson, and O. Faugeras. Statistical shape influence in geodesic active contours. In CVPR, pages 316-323, 2002.
18. S. Osher and J. A. Sethian. Fronts propagating with curvature dependent speed: Algorithms based on hamilton-jacobi formulations. J. Comput. Phys., 79(1):12-49, 1988.
19. T. Pock, A. Chambolle, D. Cremers, and H. Bischof. A convex relaxation approach for computing minimal partitions. In CVPR, pages 810-817, 2009.
20. T. Pock, T. Schoenemann, G. Graber, H. Bischof, and D. Cremers. A convex formulation of continuous multi-label problems. In ECCV, pages 792-805, 2008.
21. K. Pohl, J. Fisher, S. Bouix, M. Shenton, R. McCarley, W. Grimson, R. Kikinis, and W. Wells. Using the logarithm of odds to define a vector space on probabilistic atlases. MIA, 11(6):465-477, 2007.
22. A. Saad, G. Hamarneh, and T. Moeller. Exploration and visualization of segmentation uncertainty using shape and appearance prior information. TVCG, 16(6):1366-1375, 2010.
23. Q. Song, X. Wu, Y. Liu, M. Garvin, and M. Sonka. Simultaneous searching of globally optimal interacting surfaces with shape priors. In CVPR, pages 2879-2886, 2010.
24. O. Veksler. Star shape prior for graph-cut image segmentation. In ECCV, pages 454-467. Springer, 2008.
25. N. Vu and B. Manjunath. Shape prior segmentation of multiple objects with graph cuts. In CVPR, pages 1-8, 2008.
26. S. Warfield, K. Zou, and W. Wells. Simultaneous truth and performance level estimation (STAPLE): An algorithm for the validation of image segmentation. TMI, 23(7):903, 2004.
27. C. Zach, D. Gallup, J. Frahm, and M. Niethammer. Fast global labeling for real-time stereo using multiple plane sweeps. Vision, modeling, and visualization, page 243, 2008.