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@inproceedings{771725,
author = {Schwarz, Daniel and Kašpárek, Tomáš},
address = {Brno},
booktitle = {Analysis of Biomedical Signals and Images - Proceedings of 19th Biennal International Eurasip Conference BIOSIGNAL 2008},
keywords = {image analysis;image registration;wavelet transformation},
language = {eng},
location = {Brno},
isbn = {978-80-214-3612-1},
pages = {1-3},
publisher = {VUTIUM Press},
title = {Spatial Deformation Model With The Use Of Wavelet Thresholding For Nonlinear Multimodal Registration},
year = {2008}
}
TY - JOUR
ID - 771725
AU - Schwarz, Daniel - Kašpárek, Tomáš
PY - 2008
TI - Spatial Deformation Model With The Use Of Wavelet Thresholding For Nonlinear Multimodal Registration
PB - VUTIUM Press
CY - Brno
SN - 9788021436121
KW - image analysis;image registration;wavelet transformation
N2 - A transformation model is one of the essential blocks in almost any registration algorithm. Here, a spatial deformation model which combines smoothing by wavelet thresholding and Gaussian filtering is proposed for nonlinear registration. The algorithm is evaluated on 2-D multimodal image data - MRI images from standard Simulated Brain Database.
ER -
SCHWARZ, Daniel a Tomáš KAŠPÁREK. Spatial Deformation Model With The Use Of Wavelet Thresholding For Nonlinear Multimodal Registration. Online. In \textit{Analysis of Biomedical Signals and Images - Proceedings of 19th Biennal International Eurasip Conference BIOSIGNAL 2008}. Brno: VUTIUM Press, 2008. s.~1-3. ISBN~978-80-214-3612-1. [citováno 2024-04-24]
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