Abstract
In this paper, we present a novel and computationally efficient multimodal image registration scheme that is capable of handling non-rigidly misaligned multi-modal data sets.T he algorithm is based on a level-set based image registration algorithm applied to local frequency representations of the input images.T he algorithm has been tested on several data sets and we present one of these examples.
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B. C. Vemuri et.al., [2000], “A Level-set based approach to image registration,” IEEE Workshop on MMBIA, June 10–12, Hilton Head, SC, pp.86–93.
B. C. Vemuri, J.L iu, J.L. Marroquin, [2001], “Robust Multimodal Image Registration using Local Frequency Representation,” IPMI’01, June 18–22, Davis, CA, pp. 176–182.
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© 2001 Springer-Verlag Berlin Heidelberg
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Vemuri, B.C., Liu, J. (2001). Fast Non-rigid Multimodal Image Registration Using Local Frequency Maps. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3_230
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DOI: https://doi.org/10.1007/3-540-45468-3_230
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