Biomedical Engineering Reference
In-Depth Information
Bibliography
[1] Jain, A. K., Advances in mathematical models for image processing,
Proc. IEEE, Vol. 69, No. 5, pp. 502-528, 1981.
[2] Chellapa, R. and Kashyap, R. L., Digital image restoration using spatial
interaction models, IEEE Trans. Acoust., Speech, Signal Process., Vol.
30, No. 3, pp. 461-471, 1982.
[3] Besag, J. E., On the statistical analysis of dirty pictures, J. R. stat. Soc.,
London, B, Vol. B-48, pp. 259-302, 1986.
[4] Bouman, C. A. and Shapiro, M., A multiscale random field model for
Bayessian image segmentation, IEEE Trans. Image Process., Vol. 3,
No. 2, pp. 162-177, 1994.
[5] Benvensite, A., Nikoukhah, R., and Willsky, A. S., Multiscale system
theory, In: Proc. 29th Conf. Decision and Control, Dec. 1990, pp. 2484-
2489, 1990.
[6] Basseville, M., Benveniste, A., Chou, K. C., Golden, S. A., Nikoukhah, R.,
and Willsky, A. S., Modeling and estimation of multiresolution stochas-
tic processes, IEEE Trans. Inform. Theory, Vol. 38, No. 2, pp. 766-784,
1992.
[7] Amit, Y., Grenander, U., and Piccioni, M., Structure image restoration
through deformable templates, J. Am. Stat. Assoc., Vol. 86, No. 414, pp.
376-387, 1991.
[8] Kam, A. C. and Kopec, G. E., Heuristic image decoding using separable
source models, In Proc. Int. Conf. Acoustic., Speech, Signal Processing,
Vol. 5, Adelaide, Australia, Apr. 19-22, pp. 145-148, 1994.
[9] Kopec, G. E. and Chou, P. A., Document image decoding using Markov
source models, IEEE Trans. Pattern Anal. Machine Intell, Vol. 16, No.
6, pp. 602-617, 1994.
[10] Jain, A. K. and Dubes, R. C., Random field models in image analysis, J.
Appl. stat., Vol. 16, No. 2, 1989.
