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Fast Redundant Dyadic Wavelet Transform in Application to Spatial Registration of the Expression Patterns of Drosophila Segmentation Genes
Barcelona, Spain September 03-September 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.90358315th International Conference on Patt ...
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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," Pattern Recognition, International Conference on, vol. 3, pp. 3463, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000.
 
 
BibTex
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@article{ 10.1109/ICPR.2000.903583,
author = {Konstantin Kozlov and Ekaterina Myasnikova and Maria Samsonova and John Reinitz and David Kosman},
title = {Fast Redundant Dyadic Wavelet Transform in Application to Spatial Registration of the Expression Patterns of Drosophila Segmentation Genes},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2000},
isbn = {0-7695-0750-6},
pages = {3463},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903583},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - Fast Redundant Dyadic Wavelet Transform in Application to Spatial Registration of the Expression Patterns of Drosophila Segmentation Genes
SN - 0-7695-0750-6
SP
EP
A1 - Konstantin Kozlov,
A1 - Ekaterina Myasnikova,
A1 - Maria Samsonova,
A1 - John Reinitz,
A1 - David Kosman,
PY - 2000
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
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
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.
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, vol. 3, pp.3463, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
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