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Fast redundant dyadic wavelet transform in application to spatial registration of the expression patterns of Drosophila segmentation genes

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5 Author(s)
Kozlov, K. ; Inst. of High Performance Comput. & Data Bases, St. Petersburg, Russia ; Myasnikova, E. ; Samsonova, M. ; Reinitz, J.
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A 1D wavelet-based registration technique was applied to Drosophila segmentation gene expression data. We apply the fast redundant dyadic wavelet transform with a continuous basis as a method for extracting the ground control points. This transform was chosen for its basic properties, such as noise reduction and good localization of characteristic features

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Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:3 )

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