Modelling of 2D gel electrophoresis images for Proteomics databases

Proceedings - International Conference on Pattern Recognition

Volumn 16, Issue 1, 2002, Pages 767-769

  Wilson, R ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATABASE SYSTEMS; ELECTROPHORESIS; FUNCTION EVALUATION; GELS; PROTEINS; ALGORITHMS; BIOINFORMATICS; MOLECULAR BIOLOGY; PATTERN RECOGNITION;

GEL ELECTROPHORESIS; HERMITE FUNCTIONS; IMAGE ALIGNMENT; PROTEOMICS;

IMAGE ANALYSIS;

2-D ELECTROPHORESIS; 2-D GEL ELECTROPHORESIS IMAGES; BIOLOGICAL SAMPLES; MODELLING TECHNIQUES; MULTIRESOLUTION IMAGES; PROTEOMICS;

EID: 27844611581     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (7)

1. S.R. Pennington and M.J. Dunn (Eds.),Proteomics, From Protein Sequence to Function, BIOS Scientific, Oxford, 2001.
2. P.M. Nugues,"Two-Dimensional Electrophoresis Image Interpretation", IEEE Trans. Biomedical Engineering, 40, 760-770, 1993.
3. J.B. Martens,"The Hermite Transform - Theory, Applications", IEEE Trans. Acous. Speech, SP, 38, 1595-1618, 1990.
4. J.J. Koenderink,"Local Image Structure", Theory and Applications of Image Analysis, Ed. P. Johansen and S. Olsen, 15-22, World Scientific, 1992.
5. R. Wilson and G.H. Granlund,"The Uncertainty Principle in Image Processing",IEEE Trans. on Patt. Anal. and Macine Intell., 6, 758-67, 1984.
6. A.D. Calway, R. Wilson and H. Knutsson,"Multiresolution estimation of 2-D disparity using a frequency domain approach", Proc. BMVC-92, Leeds, 1992.
7. M.R. Luettgen, W.C. Karl and A. Willsky,"Efficient multiscale regularization with applications to the computation of optical flow", IEEE Trans. on Image Proc., 3, pp.41-63, 1993.