Paper
13 November 2003 Image registration using threefold orthogonal wavelet
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Abstract
An algorithm for multidimensional nonlinear registration is proposed. The deformation field between two elastic bodies is represented by a multi-resolution separable wavelet. Using a progressive approach that reduces algorithm complexity the registration parameters are recovered in a coarse to fine order. A custom wavelet that approximates threefold orthogonality is developed. The performance of the algorithm is evaluated by the alignment of sections from mouse brains. The wavelet registration algorithm demonstrated on average fourfold improvement in section alignment over linear alignment.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Smadar Gefen, Oleh Tretiak, and Jonathan Nissanov "Image registration using threefold orthogonal wavelet", Proc. SPIE 5207, Wavelets: Applications in Signal and Image Processing X, (13 November 2003); https://doi.org/10.1117/12.506096
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Cited by 1 scholarly publication.
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KEYWORDS
Wavelets

Image registration

Brain

Neuroimaging

Algorithm development

Error analysis

Optimization (mathematics)

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