Biomedical Engineering Reference
In-Depth Information
Federal
do
Rio
de
Janeiro,
Dep.
Eng.
Sistemas
e
Computa ΒΈ ao,
http://www.cos.ufrj.br/relatorios/reltec99/, 1999.
[32] Giraldi, G. A., Strauss, E., and Oliveira, A. F., A boundary extraction
method based on dual-t-snakes and dynamic programming. In: IEEE
Computer Society Conference on Computer Vision and Pattern Recog-
nition (CVPR'2000), 2000.
[33] Giraldi, G. A., Strauss, E., and Oliveira, A. F., An initialization method
for active contour models. In: Proceedings of the 2000 Interna-
tional Conference on Imaging Science, Systems, and Technology
(CISST'2000), 2000.
[34] Giraldi, G. A., Strauss, E., and Oliveira, A. F., Dual-t-snakes model for
medical imaging segmentation, Pattern Recognit. Lett., Vol. 24, No. 7,
pp. 993-1003, 2003.
[35] Gonzalez, R. C. and Woods, R. E. Digital Image Processing, Addison
Wesley, Reading, MA, 1992.
[36] Gool, L. V., Moons, T., Powrls, E., and Oosterlinck, A., Vision and lie's
approach to invariance, Image Vis. Comput., Vol. 13, No. 4, PP. 259-277,
1995.
[37] Gunn, S. R. and Nixon, M. S., A robust snake implementation; a dual
active contour, IEEE Trans. Pattern Anal. Mach. Intell., Vol. 19, No. 1,
pp. 63-68, 1997.
[38] Gunn, Steve R., Dual active contour models for image feature extrac-
tion, PhD Thesis, Faculty of Engineering and Applied Science, Depart-
ment of Electronics and Computer Science, May 1996.
[39] Jain, A. K., Duin, R., and Mao, J., Statistical pattern recognition: A
review, IEEE Trans. Pattern Anal. Mach. Intell., Vol. 22, No. 1, pp. 4-37,
2000.
[40] Jain, Anil K., Fundamentals of Digital Image Processing, Prentice-Hall,
Inc., Englewood Cliffs, NJ, 1989.
[41] Jolion, J. M. and Montanvert, A., The adaptive pyramid: A framework
for 2d image analysis, CVGIP: Image Understanding, Vol. 55, No. 3,
pp. 339-348, 1992.
