Interactive graph cut based segmentation with shape priors

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn I, Issue , 2005, Pages 755-762

  Freedman, Daniel ^a   Zhang, Tao ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

Graph cuts; Level sets; Segmentation; Shape priors

Indexed keywords

ALGORITHMS; COMPUTER GRAPHICS; DECISION MAKING; IMAGE SEGMENTATION; OBJECT RECOGNITION; PROBLEM SOLVING;

GRAPH CUTS; LEVEL SETS; SHAPE PRIORS;

INTERACTIVE COMPUTER GRAPHICS;

EID: 33745128094     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.191     Document Type: Conference Paper

References (23)

1. Y. Boykov and M.-P. Jolly. Interactive organ segmentation using graph cuts. In Proc. MICCAI, page 276286, 2000.
2. Y. Boykov and M.-P. Jolly. Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images. In Proc. ICCV, volume 1, pages 105-112, 2001.
3. Y. Boykov and V. Kolmogorov. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(9): 1124-1137, 2004.
4. L. D. Cohen. On active contour models and ballons. Computer Vision, Graphics, and Image Processing: Image Understanding, 53(2):211-218, 1991.
5. T. Cootes and C. Taylor. Statistical models of appearance for medical image analysis and computer vision. In Proc. SPIE Medical Imaging, 2001.
6. I. J. Cox, S. B. Rao, and Y. Zhong. "Ratio regions": a technique for image segmentation. In Proc. Int. Conf. Pattern Recognition, volume 2, pages 557-564, 1996.
7. D. Cremers, T. Kohlberger, and C. Schnorr. Nonlinear shape statistics in mumford-shah based segmentation. In Proc. European Conf. Computer Vision, pages 93-108, 2002.
8. D. Greig, B. Porteous, and A. Seheult. Exact maximum a posteriori estimation for binary images. Journal of the Royal Statistical Society, Series B, 51(2):271279, 1989.
9. A. Hill, A. Thornham, and C. Taylor. Model-based interpretation of 3-D medical images. In Proceedings of 4th British Machine Vision Conference, pages 339-348, September 1993.
10. I.L.Dryden and K.V.Mardia. Statistical shape analysis. Chichester New York, 1998.
11. I. H. Jermyn and H. Ishikawa. Globally optimal regions and boundaries. In Proc. ICCV, volume 2, pages 904-910, 1999.
12. A. Kelemen, G. Szekely, and G. Gerig. Elastic model-based segmentation of 3-D neuroradiological data sets. IEEE Transactions on Medical Imaging, 18(10):828-839, October 1999.
13. M. Leventon, E. Grimson, and O. Faugeras. Statistical shape influence in geodesic active contours. In Proceedings of CVPR 2000, 2000.
14. S. Pizer, G. Gerig, S. Joshi, and S. Aylward. Multiscale medial shape-based analysis of image objects. Proceedings of the IEEE, 91(10): 1670-1679, 2003.
15. J. Sethian. Level Set Methods and Fast Marching Methods. Cambridge University Press, Cambridge, 1999.
16. D. Shen and C. Davatzikos. An adaptive-focus deformable model using statistical and geometric information. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):906-913. August 2000.
17. M. Styner, G. Gerig, S. Pizer, and S. Joshi. Automatic and robust computation of 3D medial models incorporating object variability. International Journal of Computer Vision, 2002. To appear.
18. A. Tsai, W. Wells, C. Tempany, E. Grimson, and A. Willsky. Coupled multi-shape model and mutual information for medical image segmentation. In IPMI 2003, pages 185-197, 2003.
19. A. Tsai, A. Yezzi, W. Wells, C. Tempany, D. Tucker, A. Fan, E. Grimson, and A. Willsky. A shape based approach to curve evolution for segmentation of medical imagery. IEEE Trans. Medical Imaging, 22(2), February 2003.
20. Y. Wang and L. H. Staib. Integrated approaches to non-rigid registration in medical images. In Proceedings of IEEE WACV 1998, pages 102-108, October 1998.
21. Z. Wu and R. Leahy. An optimal graph theoretic approach to data clustering: theory and its application to image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 15(11):1101-1113, 1993.
22. A. Yuille and P. Hallinan. Deformable templates. In A. Blake and A. Yuille, editors, Active Vision, page 2038. MIT Press, 1992.
23. T. Zhang and D. Freedman. Tracking objects using density matching and shape priors. In Proc. Int. Conf. Computer Vision, pages 1056-1062, Nice, 2003.