Image segmentation with a parametric deformable model using shape and appearance priors

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  El Baz, Ayman ^a   Gimel'farb, Georgy ^b  

^a University of Louisville   (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL GEOMETRY; COMPUTER VISION; DEFORMATION; DIFFERENCE EQUATIONS; DIFFERENTIAL EQUATIONS; DIFFERENTIATION (CALCULUS); FEATURE EXTRACTION; FLOW INTERACTIONS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGING TECHNIQUES; MEDICAL IMAGING; PARTIAL DIFFERENTIAL EQUATIONS; PATTERN RECOGNITION; SPEED;

ALIGNED IMAGES; APPEARANCE MODELING; DEFORMABLE MODELING; DISCRETE GAUSSIANS; EIKONAL; EXPECTATION-MAXIMIZATION; GRAY LEVELS; LINEAR COMBINATION; LINEAR COMBINATIONS; MARKOV-GIBBS RANDOM FIELD; PAIR-WISE INTERACTION; PARAMETRIC MODELING; PARTIAL DIFFERENTIAL; SPEED FUNCTIONS; TRAINING DATA; VISUAL APPEARANCES;

IMAGE SEGMENTATION;

EID: 51949107060     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587476     Document Type: Conference Paper

References (30)

1. A. Tsai, A. Yezzi, J. Wells, C. Tempany, D. Tucker, A. Fan, W. Grimson, and A. Willsky, "A shape based approach to the segmentation of medical imagery using level sets," IEEE Trans. Medical Imaging, vol. 22, pp. 137-154, 2003.
2. th European Conf. Computer Vision, Denmark, June 2002, pp. 78-92.
3. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," Int. J. Computer Vision, vol. 1, pp. 321-331, 1987.
4. V. Caselles, R. Kimmel, and G. Sapiro, "On geodesic active contours," Int. J. Computer Vision, vol. 22, pp. 61-79, 1997.
5. S. Osher and J. Sethian, "Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulation," J. Comput. Physics, vol. 79, pp. 12-49, 1988.
6. T. Chan and L. Vese, "Active contours without edges," IEEE Trans. Image Processing, vol. 10, pp. 266-277, 2001.
7. A. Pentland and S. Sclaroff, "Closed-form solutions for physically based shape modeling and recognition," IEEE Trans. PAMI, vol. 13, pp. 715-729, 1991.
8. T. Cootes, C. Taylor, D. Cooper, and J. Graham, "Active shape models - their training and application," Computer Vision Image Understanding, vol. 61, pp. 38-59, 1995.
9. L. Staib and J. Duncan, "Boundary finding with parametrically deformable contour models," IEEE Trans. PAMI, vol. 14, pp. 1061-1075, 1992.
10. A. Chakraborty, L. Staib, and J. Duncan, "An integrated approach to boundary finding in medical images," Proc. IEEE Workshop Biomedical Image Analysis, Seattle, Washington, June 24-25, 1994, pp. 13-22.
11. S. Pizer, G. Gerig, S. Joshi, and S. Aylward, "Multiscale medial shape-based analysis of image objects," Proc. IEEE, vol. 91, pp. 1670-1679, 2003.
12. M. Leventon, W. Eric, L. Grimson, O. Faugeras, "Statistical shape influence in geodesic active contours," In Proc. CVPR, South Carolina, June 13-15, 2000, pp. 316-323.
13. M. Styner, G. Gerig, S. Pizer, and S. Joshi, "Automatic and robust computation of 3D medial models incorporating object variability," Int. J. Computer Vision, vol. 55, pp. 107-122, 2002.
14. D. Shen and C. Davatzikos, "An adaptive-focus deformable model using statistical and geometric information," IEEE Trans. PAMI, vol. 22, pp. 906-913, 2000.
15. X. Huang, D. Metaxas, and T. Chen, "MetaMorphs: Deformable shape and texture models," In Proc. CVPR, Washington, D.C., June 27 - July 2, 2004, vol. 1, pp. 496-503.
16. Y. Chen, S. Thiruvenkadam, F. Huang, D. Wilson, E. Geiser, and H. Tagare, "On the incorporation of shape priors into geometric active contours," Proc. IEEE Workshop Variational and Level Set Methods, Canada, July 2001, pp. 145-152.
17. K. Van Leemput, F. Maes, D. Vandermeulen, and P. Suetens, "A unifying framework for partial volume segmentation of brain MR images," IEEE Trans. Medical Imaging, vol. 22, no. 1, pp. 105-119, 2003.
18. S. Joshi, "Large deformation diffeomorphisms and Gaussian random fields for statistical characterization of brain submanifolds," PhD Thesis, Washington Univ., 1997.
19. N. Paragios and R. Deriche, "Geodesic active contours and level sets for the detection and tracking of moving objects," IEEE Trans. PAMI, vol. 22, pp. 266-280, 2000.
20. T. Cootes and C. Taylor, "Statistical models of appearance for medical image analysis and computer vision," SPIE, vol. 4322, pp. 236-248, 2001.
21. th British Machine Vision Conf., Sept. 1993, pp. 339-348, 1993.
22. J. Yang and J. Duncan, "3D image segmentation of deformable objects with joint shape-intensity prior models using level sets," Med. Image Anal. vol. 8, pp. 285-294, 2004.
23. D. Freedman, R. Radke, T. Zhang, Y. Jeong, D. Lovelock, and G. Chen, "Model-based segmentation of medical imagery by matching distributions," IEEE Trans. on Medical Imaging, vol. 24, no. 3, pp. 281-292, 2005.
24. A. Foulonneau, P. Charbonnier, and F. Heitz, "Affine-invariant geometric shape priors for region-based active contours," IEEE Trans. PAMI, vol. 28, pp. 1352-1357, 2006.
25. D. Adalsteinsson and J. Sethian, "A fast level set method for propagating interfaces," J. Computational Physics, vol. 118, pp. 269-277, 1995.
26. M. Hassouna and A. Farag, "Robust centerline extraction framework using level sets," In Proc. CVPR, San Diego, USA, 2005, pp. 458-465.
27. D. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comp. Vision, vol. 60, pp. 91-110, 2004.
28. G. Gimel'farb and D. Zhou, "Accurate identification of a Markov-Gibbs model for texture synthesis by bunch sampling," Proc. CAIP, Vienna, Austria, 2007, pp. 979-986.
29. G. Gimel'farb, Image textures and Gibbs random fields, Kluwer Acad., Dordrecht, 1999.
30. A. El-Baz, "Novel stochastic models for medical image analysis," Ph.D. Thesis, University of Louisville, Louisville, KY, August, 2006.