Using a fuzzy framework for delineation and decomposition of immunoglobulin G in cryo electron tomographic images

Proceedings - International Conference on Pattern Recognition

Volumn 4, Issue , 2006, Pages 687-690

  Svensson, Stina ^a   Gedda, Magnus ^a   Fanelli, Duccio ^b   Skoglund, Ulf ^b   Öfverstedt, Lars Göran ^b   Sandin, Sara ^c  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^b KAROLINSKA INSTITUTE   (Sweden)

^c MRC LABORATORY OF MOLECULAR BIOLOGY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; MEDICAL IMAGING; PROTEINS; TOMOGRAPHY;

CRYO ELECTRON TOMOGRAPHIC IMAGES; DELINEATION; FUZZY FRAMEWORK; IMMUNOGLOBULIN G;

IMAGE ANALYSIS;

EID: 33750800180     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.1151     Document Type: Conference Paper

References (16)

1. H. E. J. Atta-ur Rahman. Nuclear Magnetic Resonance: Basic Principles. Springer-Verlag, New York, 1986.
2. L. Bongini, D. Fanelli, F. Piazza, P. De Los Rios, S. Sandin, and U. Skoglund. Freezing immunoglobulins to see them move. PNAS, 101(17):6466-6471, 2004.
3. T. E. Creighton. Proteins: Structures and Molecular Properties. W. H. Freeman and Company, 2nd ed., 1993.
4. R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. Jon Wiley & Sons, Inc., 2nd ed., 2001.
5. M. Gedda and S. Svensson. Fuzzy distance based hierarchical clustering calculated using the A* algorithm. To appear in Vol 4040 Lecture Notes in Comput. Sci. (Proc. Int. Conf. Comb. Image Anal.), Springer-Verlag, 2006.
6. C. A. Glasbey. An analysis of histogram-based thresholding algorithms. CVGIP: Graph. Models Image Process., 55(6):532-537, 1993.
7. P. E. Hart, N. J. Nilsson, and B. Raphael. A formal basis for the heuristic determination of minimum cost paths. IEEE Trans. Syst. Man Cybern., 4(2):100-107, 1968.
8. J. Kittler and J. Illingworth. Minimum error thresholding. Pattern Recognition, 19(1):41-47, 1986.
9. M. Laing. An introduction to the scope, potential and applications of x-ray analysis. Int. Uni. Crystallogr. Teaching Pamphlets: http://www.ch. iucr.org/iucr-top/ comm/cteach/pamphlets.html, 1997. Dec 122005.
10. K. H. Roux. Immunoglobulin structure and function as revealed by electron microscopy. Int. Arch. Allergy Immunol., 120(2):85-99, 1999.
11. P. K. Saha, F. W. Wehrli, and B. R. Gomberg. Fuzzy distance transform: Theory, algorithms, and applications. Comput. Vis. Image Underst., 86:171-190, 2002.
12. S. Sandin, L.-G. Öfverstedt, A.-C. Wikström, O. Wrange, and U. Skoglund. Structure and flexibility of individual immunoglobulin G molecules in solution. Structure, 12:409-415, 2004.
13. U. Skoglund, L.-G. Öfverstedt, R. M. Burnett, and G. Bricogne. Maximum-entropy three-dimensional reconstruction with deconvolution of the contrast transfer function: A test application with adenovirus. J. Struct. Biol., 117:173-188, 1996.
14. S. Svensson. A decomposition scheme for 3D fuzzy objects based on fuzzy distance information. Sub. for publ. 2005.
15. J. K. Udupa and P. K. Saha. Fuzzy connectedness and image segmentation. Proc. IEEE, 91(10):1649-1669, 2003.
16. L. Vincent and P. Soille. Watersheds in digital spaces: An efficient algorithm based on immersion simulations. IEEE Trans. Pattern Anal. Mach. Intell., 13(6):583-597, 1991.