Klassifikation von Mustern

148 LITERATURVERZEICHNIS
Universität Hamburg, Hamburg, Germany, 1981.
[Duhamel und Vetterli, 1990] Duhamel, P., Vetterli, M. Fast Fourier transforms: A tutorial review and a
state of the art. Signal Processing, 19:259–299, 1990.
[Dunn et al., 1984] Dunn, S.M., Harwood, D., Davis, L.S. Local estimation of the uniform error threshold.
IEEE Trans. on Pattern Analysis and Machine Intelligence, 1:742–747, 1984.
[Eccles und Rosen, 1977] Eccles, M.J.and McQueen, M.P.C., Rosen, D. Analysis of the digitized boundaries
of planar objects. Pattern Recognition, 9:31–41, 1977.
[Ehrich, 1978] Ehrich, R.W. A symmetrical hysteresis smoothing algorithm that preserves principal
features. Computer Graphics and Image Processing, 8:121–126, 1978.
[Eide und Gish, 1996] Eide, E., Gish, H. A parametric approach to vocal tract length normalization. In
Proc. Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP), S. Vol. 1, 346–349.
Atlanta, USA, 1996.
[Evensen, 2003] Evensen, G. The ensemble Kalman filter: Theoreticel formulation and practical implementation.
Ocean Dynamics, 53:343–367, 2003.
[Ferman et al., 2002] Ferman, A.M., Tekalp, A.M., Mehrotra, R. Robust color histogram descriptors for
video segment retrieval and identification. IEEE Trans. on Image Processing, 11:497–508, 2002.
[Figueiredo und Nowak, 2001] Figueiredo, M.A.T., Nowak, R.D. Wavelet-based image estimation: An
empirical Bayes approach using Jeffrey’s noninformative prior. IEEE Trans. on Image Processing,
10:1322–1331, 2001.
[Finlayson et al., 2001] Finlayson, G.D., Hordley, S.D., Hubel, P.M. Color by correlation: A simple,
unifying framework for color constancy. IEEE Trans. on Pattern Analysis and Machine Intelligence,
23:1209–1221, 2001.
[Förstner und Gülch, 1987] Förstner, W., Gülch, E. A fast operator for detection and precise location
of distinct points, corners, and circular features. In Proc. Intercommission Conference on Fast
Processing of Photogrammetric Data, S. 281–305. Interlaken, 1987.
[Frantz et al., 1998] Frantz, S., Rohr, K., Stiehl, H.S. Multi-step differential approaches for the localization
of 3d point landmarks in medical images. Journal of Computing and Information Technology,
6:435–447, 1998.
[Freeman, 1961] Freeman, H. On the encoding of arbitrary geometric configurations. IRE Trans. Electron.
Computers, 10:260–268, 1961.
[Freeman, 1974] Freeman, H. Computer processing of line drawing images. ACM Computing Surveys,
6:57–97, 1974.
[Frigo und Johnson, 1998] Frigo, M., Johnson, S.G. FFTW: An adaptive software architecture for the
FFT. In Proc. Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP), S. Vol. 3,
1381–1384. Seattle, Washington, 1998.
[Frost et al., 1982] Frost, V.S., Stiles, J.A., Shanmugan, K.S., Holtzman, J.C. A model of radar images
and its application to adaptive digital filtering of multiplicative noise. IEEE Trans. on Pattern
Analysis and Machine Intelligence, 4:157–165, 1982.
[Gallagher Jr. und Wise, 1981] Gallagher Jr., N.C., Wise, G.L. A theoretical analysis of the properties
of median filters. IEEE Trans. on Acoustics, Speech, and Signal Processing, 29:1136–1141, 1981.
[Garnett et al., 2005] Garnett, R., Huegerich, H., Chui, C., He, W. A universal noise removal algorithm
with an impulse detector. IEEE Trans. on Image Processing, 14:1747–1754, 2005.
[Gee, 1999] Gee, J.C. On matching brain volumes. Pattern Recognition, 32:99–111, 1999.
[Geiger und Yuille, 1991] Geiger, D., Yuille, A. A common framework for image segmentation. Int.
Journal of Computer Vision, 6(3):227–243, 1991.
[Geman und Geman, 1984] Geman, S., Geman, D. Stochastic relaxation, Gibbs distributions, and the
Bayesian restoration of images. IEEE Trans. on Pattern Analysis and Machine Intelligence,
6(6):721–741, 1984.
[Gering et al., 1992] Gering, G., Kübler, O., Kikinis, R., Jolesz, F. Nonlinear isotropic filtering of MR
data. IEEE Trans. on Medical Imaging, 11:221–232, 1992.