Prior shape models for boundary finding

Proceedings - International Symposium on Biomedical Imaging

Volumn 2002-January, Issue , 2002, Pages 30-33

  Staib, Lawrence H ^a  

^a YALE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS;

ADDITIONAL FLEXIBILITIES; BAYESIAN FORMULATION; GENERIC INFORMATION; IMAGE INFORMATION; NATURAL APPROACHES; POSTERIOR PROBABILITY; SMOOTHNESS CONSTRAINTS; STATISTICAL VARIATIONS;

MEDICAL IMAGING;

EID: 84948669596     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2002.1029185     Document Type: Conference Paper

References (18)

1. A. Martelli, "An application of heuristic search methods to edge and contour detection" Comm. ACM, vol. 19, no. 2, pp. 73-83, Feb. 1976.
2. U. Montanari, "On the optimal detection of curves in noisy pictures," Comm. ACM, vol. 14, no. 5, pp. 335-345, May 1971.
3. M. Kass, A. Witkin, and D. Teizopoulos, "Snakes: Active contour models," Int. J. Computer Vision, vol. 1, no. 4, pp. 321-331, 1988.
4. X. Zeng, L. H. Staib, R. T. Schultz, and J. S. Duncan, "Segmentation and measurement of the cortex from 3D MR images using coupled surfaces propagation," IEEE Trans. Med. Imaging, vol. 18, no. 10, 1999.
5. D. H. Ballard, "Generalizing the Hough transform to detect arbitrary shapes," Pattern Recognition, vol. 13, no. 2, pp. 111-122, 1981.
6. J. Sklansky, "On the Hough technique for curve detection," IEEE Trans. Comp., vol. 27, no. 10, pp. 923-926, Oct. 1978.
7. B. Widrow, "The "rubber mask" technique - I and II," Pattern Recognition, vol. 5, pp. 175-211, 1973.
8. A. L. Yuille, D. S. Cohen, and P. W. Hallinan, "Feature extraction from faces using deformable templates," in Proc. Comp. Vision Pattern Recog., 1989, pp. 104-109.
9. Y. Chow, U. Grenander, and D. M. Keenan, "Hands: A pattern theoretic study of biological shapes," Tech. Rep., Div. Appl. Math., Brown University, Providence, Rhode Island, 1989.
10. P. Radeva, J. Serrat, and E. Martf, "A snake for model-based segmentation," in Proc. Fifth Int. Conf. Comp. Vision, 1995, pp. 816-821.
11. M. E. Leventon, O. Faugeras, W. E. L. Grimson, and W. W. Wells, "Level set based segmentation with intensity and curvature priors," in Proc. Workshop Math. Meth. Biomed. Image Anal, June 2000, pp. 4-11.
12. L. H. Staib and J. S. Duncan, "Parametrically deformable contour models," in Proc. Comp. Vision Pattern Recog., June 1989, pp. 98-103.
13. L. H. Staib and J. S. Duncan, "Boundary finding with parametrically deformable models," IEEE Trans. Pattern Anal. Machine Intell, vol. 14, no. 11, pp. 1061-1075, 1992.
14. T. Cootes, A. Hill, C. Taylor, and J. Haslam, "The use of active shape models for locating structures in medical images," in Information Proc. Med. Imaging, H. H. Barrett and A. F. Gmitro, Eds., pp. 33-47. LNCS 687, Springer, Berlin, 1993.
15. Y. Wang and L. H. Staib, "Statistical shape and smoothness models for boundary finding with correspondence," IEEE Trans. Pattern Anal. Machine Intell, vol. 22, no. 7, pp. 738-743, 2000.
16. J. Haslam, C. J. Taylor, and T. F. Cootes, "A probabilistic fitness measure for deformable template models," in Proc. British Machine Vision Conf., Sept. 1994, pp. 33-42.
17. T. Cootes and C. Taylor, "Combining point distribution models with shape models based on finite element analysis," Image and Vision Computing, vol. 13, no. 5, pp. 403-410, June 1995.
18. A. Rosenfeld and A. C. Kak, Digital Picture Processing. Academic Press, Orlando, Florida, second edition, 1982.