Jin, F., Fieguth, P., & Winger, L. (2005). Image denoising using complex wavelets and Markov prior models International Conference Image Analysis and Recognition, 73-80. Springer, Berlin, Heidelberg.
References
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Kachouie, N. N., Lee, L. J., & Fieguth, P. (2005). A probabilistic living cell segmentation model IEEE International Conference on Image Processing 2005, 1, I-1137. IEEE.
Kachouie, N. N., & Fieguth, P. (2005). Biomedical Applications-A Narrow-Band Level-Set Method with Dynamic Velocity for Neural Stem Cell Cluster Segmentation Lecture Notes in Computer Science, 3656, 1006-1013.
Fieguth, P., & Zhang, J. (2005). Random field models Academic Press.
Fieguth, P., Bloore, P., & Domsa, A. (2004). Phase-based methods for Fourier shape matching 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 3, iii-425. IEEE.
Kachouie, N. N., Alirezaie, J., & Fieguth, P. (2004). A hybrid algorithm using discrete cosine transform and Gabor filter bank for texture segmentation Canadian Conference on Electrical and Computer Engineering 2004 (IEEE Cat. No. 04CH37513), 3, 1805-1808. IEEE.
Nezamoddini-Kachouie, N., Fieguth, P., & Jernigan, E. (2004). Bayesshrink ridgelets for image denoising International Conference Image Analysis and Recognition, 163-170. Springer, Berlin, Heidelberg.
Alajlan, N., Fieguth, P., & Kamel, M. (2004). Robust shape retrieval using maximum likelihood theory International Conference Image Analysis and Recognition: Springer, 745-752. Springer, Berlin, Heidelberg.
Jin, F., Fieguth, P., & Winger, L. (2004). Motion-compensated wavelet video denoising International Conference Image Analysis and Recognition, 572-579. Springer, Berlin, Heidelberg.
Lee, L. (2004). Hidden Dynamic Models for Speech Processing Applications