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15th International Conference on Pattern Recognition (ICPR'00) - Volume 3   p. 3463
Fast Redundant Dyadic Wavelet Transform in Application to Spatial Registration of the Expression Patterns of Drosophila Segmentation Genes
Konstantin Kozlov, Institute of High Performance Computing and Data Bases
Ekaterina Myasnikova, Institute of High Performance Computing and Data Bases
Maria Samsonova, Institute of High Performance Computing and Data Bases
John Reinitz, Mt. Sinai School of Medicine
David Kosman, Mt. Sinai School of Medicine

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903583
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Abstract
A 1D wavelet-based registration technique was applied to Drosophila segmentation gene expression data. As a method for extracting the ground control points, we apply the Fast Redundant Dyadic Wavelet Transform with a continuous basis. This transform was chosen for its basic properties, such as noise reduction and good localization of characteristic features.
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Citation:  Konstantin Kozlov, Ekaterina Myasnikova, Maria Samsonova, John Reinitz, David Kosman, "Fast Redundant Dyadic Wavelet Transform in Application to Spatial Registration of the Expression Patterns of Drosophila Segmentation Genes," icpr, p. 3463,  15th International Conference on Pattern Recognition (ICPR'00) - Volume 3,  2000