Multispectral image visualization with nonlinear projections

IEEE Transactions on Image Processing

Volumn 5, Issue 10, 1996, Pages 1486-1490

  Manduca, Armando ^a  

^a MAYO CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; NEURAL NETWORKS; NONLINEAR OPTICS; PROBABILITY; TOPOLOGY; VECTOR QUANTIZATION; VISUALIZATION;

MULTISPECTRAL IMAGE; NONLINEAR PROJECTIONS; SELF ORGANIZING MAP;

IMAGING TECHNIQUES;

EID: 0030270369     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.536897     Document Type: Article

References (15)

1. G. Harikumar and Y. Bresler, "Multi-spectral image visualization by projection pursuit," in Visualiz. Biomed. Comput. '92, vol. SPIE-1808, pp. 159-170, 1993.
2. R. Boesel and Y. Bresler, "A new paradigm for optimal multi-spectral image visualization," in Visualiz. Biomed. Comput. '92, vol. SPIE-1808, pp. 347-301, 1992.
3. C. Lee and D. Landgrebe, "Analyzing high dimensional multispectral data," IEEE Trans. Geosci. Remote Sensing, vol. 31, no. 4, pp. 792-800, 1993.
4. T. Taxt and A. Lundervold, "Multispectral analysis of the brain using magnetic resonance imaging," IEEE Trans. Med. Imaging, vol. 13, no. 3, pp. 470-481, 1994.
5. H. Levkowitz and G. Herman, "Color scales for image data," IEEE Comput. Graphics Applic., vol. 12, no. 1, pp. 72-80, Jan. 1992.
6. A. Todd-Popkropek, "The intercomparison of a black and white and a color display: an example of the use of receiver operating characteristic curves," IEEE Trans. Med. Imaging, vol. MI-2, no. 1, pp. 19-23, Mar. 1983.
7. B. Alfano et al., "Multiparametric display of spin-echo data from MR studies of brain," J. Mag. Resonance Imaging, vol. 5, pp. 217-225, 1995.
8. T. Kohonen, Self-Organization and Associative Memory, 3rd ed. Berlin: Springer-Verlag, 1989.
9. _, "The self-organizing map," Proc. IEEE, vol. 78, no. 9, pp. 1464-1480, 1990.
10. B. Angeniol, G. Vaubois, and J.-Y. Texier, "Self-organizing feature maps and the traveling salesman problem," Neural Networks, vol. 1, pp. 289-293, 1988.
11. D. Landgrebe and L. Biehl, "MultiSpec - a multispectral image data analysis system," Purdue Research Foundation. Available: http://dynamo.ecn.purdue.edu/biehl/multispec.
12. J. Lampinen and E. Oja, "Fast self-organization by the probing algorithm," in Proc. IEEE Int. Joint Conf. Neural Networks, Washington, DC, June 1989, vol. 2, pp. 503-507.
13. J. W. Sammon, Jr., "A nonlinear mapping for data structure analysis," IEEE Trans. Comput., vol. C-18, pp. 401-409, 1969.
14. Y. Linde, A. Buzo, and R. M. Gray, "An algorithm for vector quantization design," IEEE Trans. Comput., vol. COM-28, pp. 84-95, Jan. 1980
15. A. K. Jain and J. Mao, "Artificial neural network for nonlinear projection of multivariate data," in Proc. IEEE Int. Joint Conf. Neural Networks, Baltimore, MD, June 1992, vol. 3, pp. 334-340.