A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
The steerable pyramid: a flexible architecture for multi-scale derivative computation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
A filter design technique for steerable pyramid image transforms
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Shiftable multiscale transforms
IEEE Transactions on Information Theory - Part 2
A wavelet-based coarse-to-fine image matching scheme in a parallel virtual machine environment
IEEE Transactions on Image Processing
Rotation-invariant texture retrieval with gaussianized steerable pyramids
IEEE Transactions on Image Processing
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Image registration is playing a more and more important role in facilitating the smart use of widely available and complementary information from multiple imaging resources. To improve the efficiency and accuracy of medical image registration, in this paper, a bi-hierarchy registration method is presented. Firstly, on the basis of steerable pyramid transform with property of transformation-invariance, the images will be decomposed into multi-scale and multi-band representation. Then, to avoid transformation error accumulation and magnification during the parameter transmission, the registration will be performed only in the lowest-resolution hierarchy and the highest-resolution hierarchy. The experiments on medical images demonstrate that the proposed registration is of high performance and is robust to noise.