Segmentation of biomedical images with eigenvectors

Proceedings - International Symposium on Biomedical Imaging

Volumn 2002-January, Issue , 2002, Pages 90-93

  Frangakis, Achilleas S ^a   Hegerl, Reiner ^a  

^a MAX PLANCK INSTITUTE OF BIOCHEMISTRY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; EIGENVALUES AND EIGENFUNCTIONS; ELECTRON BEAM COMPUTED TOMOGRAPHY; MEDICAL IMAGING;

AFFINITY MEASUREMENT; BIOMEDICAL DATA; BIOMEDICAL IMAGES; GRAY-LEVEL; MULTI-DIMENSIONAL IMAGES; PARAMETER SETTING; SIMILARITY CRITERIA; THREE DIMENSIONS;

IMAGE SEGMENTATION;

EID: 84943817242     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2002.1029200     Document Type: Conference Paper

References (11)

1. M. Fiedler, "A property of Eigenvectors of nonnegative symmetric matrices and its application to graph theory", 1975, Czechoslovak Mathematical Journal, vol. 25, pp.619-633
2. A. S. Frangakis, A. Stoschek, R. Hegerl, "Wavelet transform filtering and nonlinear anisotropic diffusion assessed for signal reconstruction performance on multidimensional biomedical data", IEEE Trans. Biomedical Engineering, vol. 48, no. 2, pp, 213-222
3. A. S. Frangakis, J. Böhm, D. Nicastro, S. Nickell, F. Förster, R. Hegerl, W. Baumeister "Automated identification of macTomolcular complexes in electron tomograms of cells", submitted to PNAS
4. A. J. Koster, R. Grimm, D. Typke, R. Hegerl, A. Stoschek, J. Walz, and W. Baumeister, "Perspectives of molecular and cellular electron tomography", J of Structural Biology, vol. 120, pp. 276-308, 1998
5. J. Malik, S. Belognie, T. Leung, J Shi, "Contour and texture analysis for image segmentation", 1999, submitted to Int. J. Comp. Vision
6. R. Malladi, J. Sethian, B. C. Vemuri, "A fast level set based algorithm for topology-independent shape modeling", "Journal of Mathematical Imaging and Vision", 1996, vol. 6, pp. 269-28
7. G.L. Scottt and H. C. Longuet-Higgins, "Feature grouping by relocalisation of eigenvectors of the proximity matrix", Proc. British Machine Vision Conf., 1990, pp. 103-108
8. J. Shi and J. Malik, "Normalized cuts and image segmentation", Proc. IEEE Conf on Comp. Vision and Pattern Recognition, 1997, pp. 731-737
9. D. C. Sorensen, "Implicitly restarted Amoldi/Lanczos methods for large scale eigenvalue calculations", 1995, technical report
10. S. Wang, R. Detrano, A. Secci, W. Tang, T. Doherty, G. Puentes, N. Wong, B. Brundage, "Detection of coronary classification with electron-beam computed tomography: Evaluation of interexamination reproducibility and comparison of three image acquisition-protocols", 1996, Amer. Heart J., vol. 132, no.3, pp, 550-558
11. Y. Weiss, "Segmentation using eigenvectors: a unifying view", Proc. Int. Conf. Comp. Vision, 1999, vol.2, pp. 975-982