Shape gradient for multi-modal image segmentation using mutual information

Proceedings - International Conference on Image Processing, ICIP

Volumn 4, Issue , 2004, Pages 2729-2732

  Herbulot, A ^a   Jehan Besson, S ^b   Barlaud, M ^a   Aubert, G ^c  

^a UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

^b ENSICAEN   (France)

^c UNIVERSITÉ DE NICE SOPHIA ANTIPOLIS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE CONTOURS; BOUNDARY FUNCTIONALS; COLOR CHANNELS; MULTI-MODAL IMAGE SEGMENTATION;

ENTROPY; IMAGE ANALYSIS; INFORMATION ANALYSIS; OPTIMIZATION; PARTIAL DIFFERENTIAL EQUATIONS; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING;

IMAGE SEGMENTATION;

EID: 20444501374     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2004.1421668     Document Type: Conference Paper

References (13)

1. C.E. Shannon, "A mathematical theory of communication," Bell Sys. Tech. J., vol. 27, pp. 379-423, 1948.
2. T.M. Cover and J.A. Thomas, Elements of Information Theory, Wiley-Interscience, 1991.
3. A. Herbulot, S. Jehan-Besson, M. Barlaud, and G. Aubert, "Shape gradient for image segmentation using information theory," in ICASSP, may 2004, vol. 3, pp. 21-24.
4. W. Wells, P. Viola, H. Atsumi, S. Nakajima, and R. Kikinis, "Multi-modal volume registration by maximization of mutual information," Medical Image Analysis, vol. 1, no. 1, pp. 35-51, 1996.
5. F. Macs, A. Collignon, D. Vandermeulen, G. Marchal, and P. Suetens, "Multimodality image registration by maximization of mutual information," IEEE Transactions on Medical Imaging, vol. 16, no. 2, 1997.
6. M.C. Delfour and J.P. Zolésio, Shape and geometries. Advances in Design and Control, SIAM, 2001.
7. 2S: Deformable regions driven by an eulerian accurate minimization method for image and video segmentation," IJCV, vol. 53, no. 1, pp. 45-70, 2003.
8. G. Aubert, M. Barlaud, O. Faugeras, and S. Jehan-Besson, "Image segmentation using active contours: Calculus of variations or shape gradients ?," SIAM Applied Mathematics, vol. 1, no. 2, pp. 2128-2145, 2003.
9. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," International Journal of Computer Vision, vol. 1, pp. 321-332, 1988.
10. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," International Journal of Computer Vision, vol. 22, no. 1, pp. 61-79, 1997.
11. S. Zhu and A. Yuille, "Region competition: unifying snakes, region growing, and bayes/MDL for multiband image segmentation," PAMI, vol. 18, pp. 884-900, September 1996.
12. J. Kim, J.W. Fisher, M. Cetin, A.J. Yezzi, and A.S. Willsky, "Incorporating complex statistical information in active contour-based image segmentation," in ICIP, 2003, pp. II: 655-658.
13. F. Precioso, M. Barlaud, T. Blu, and M. Unser, "Smoothing B-spline active contour for fast and robust image and video segmentation," in ICIP, Barcelona, Spain, September 2003, IEEE, vol. 1, pp. 137-140.