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Multimodal Registration using the Discrete Wavelet Frame Transform
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.83918th International Conference on Patt ...
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Shutao Li, Hunan University Changsha, China
Jinglin Peng, Hunan University Changsha, China
James T. Kwok, Hong Kong University of Science and Technology Clear Water Bay, Hong Kong
Jing Zhang, Hunan University Changsha, China
Image registration is a critical step in medical image analysis. In this paper, a novel image registration method based on the discrete wavelet frame transform (DWFT) and the sum of absolute distance (SAD) method is proposed. First, the multimodal images are decomposed by DWFT, which is shift-invariant compared to traditional dyadic wavelet transforms. Then the energy maps are computed from the details sub-band images. Finally, genetic algorithm (GA) is adopted to obtain the minimum SAD between the two energy maps. The proposed method is tested on 50 pairs of two-dimensional T1-weighted and T2- weighted modal images. Experimental results demonstrated that the proposed method can achieve high accuracy in the rigid transformation case.
Citation:
Shutao Li, Jinglin Peng, James T. Kwok, Jing Zhang, "Multimodal Registration using the Discrete Wavelet Frame Transform," icpr, vol. 3, pp.877-880, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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