Klassifikation von Mustern

LITERATURVERZEICHNIS 147
Germany, 1982.
[Canny, 1986] Canny, J. A computational approach to edge detection. IEEE Trans. on Pattern Analysis
and Machine Intelligence, 8:679–698, 1986.
[Caselles et al., 1998] Caselles, V., Morell, J.-M., Sapiro, G., Tannenbaum, A. Introduction to the special
issue on partial differential equations and geometry-driven diffusion in image processing. IEEE
Trans. on Image Processing, 7(3):269–273, 1998.
[Catmull und Rom, 1974] Catmull, E., Rom, R. A class of local interpolating splines. In R.E. Barnhill,
R.F. Riesenfeld, Hg., Computer Aided Geometric Design, S. 317–326. Academic Press, New York,
1974.
[Catte et al., 1992] Catte, F., Lions, P.-L., Morel, J.-M., Coll, T. Image selective smoothing and edge
detection by nonlinear diffusion. SIAM Journal on Numerical Analysis, 29:182–193, 1992.
[Chambolle et al., 1998] Chambolle, A., DeVore, R.A., Lee, N., Lucier, B.J. Nonlinear wavelet image
processing: Variational problems, compression, and noise removal through wavelet shrinkage.
IEEE Trans. on Image Processing, 7:319–335, 1998.
[Chang et al., 2000] Chang, S.G., Yu, B., Vetterli, M. Adaptive wavelet thresholding for image denoising
and compression. IEEE Trans. on Image Processing, 9:1532–1546, 2000.
[Chen et al., 1999] Chen, M., Kanade, T., Pomerleau, D., Rowley, H.A. Anomaly detection through
registration. Pattern Recognition, 32:113–128, 1999.
[Cheng et al., 2002] Cheng, H.D., Jiang, X.H., Wang, J. Color image segmentation based on homogram
thresholding and region merging. Pattern Recognition, 35:373–393, 2002.
[Chow und Kaneko, 1972a] Chow, C.K., Kaneko, T. Automatic boundary detection of the left ventricle
from cineangiograms. Computers and Biomedical Research, 5:388–410, 1972a.
[Chow und Kaneko, 1972b] Chow, C.K., Kaneko, T. Boundary detection of radiographic images by a
threshold method. In S. Watanabe, Hg., Frontiers of Pattern Recognition, S. 61–82. Academic
Press, New York, 1972b.
[Clarke, 1990] Clarke, R.J. Transform Coding of Images. Academic Press, New York, 1990.
[Cochran et al., 1967] Cochran, W.T., Cooley, J.W., Favin, D.L., Helms, H.D., Kaenel, R.A., Lang,
W.W., Maling, G.C., Nelson, D.E., Rader, C.M., Welch, P.D. What is the fast Fourier transform?
Proc. IEEE, 55:1664–1674, 1967.
[Cooley und Tukey, 1965] Cooley, J.W., Tukey, J.W. An algorithm for the machine computation of the
complex Fourier series. Mathematics of Computation, 19:297–301, 1965.
[Courant und Hilbert, 1953] Courant, R., Hilbert, D. Methods of Mathematical Physics, Vol. I. Interscience
Publishers, New York, 1953.
[Coyle et al., 1989] Coyle, E.J., Lin, J.-H., Gabbouj, M. Optimal stack filtering and the estimation and
structural approaches to image processing. IEEE Trans. on Acoustics, Speech, and Signal Processing,
37:2037–2066, 1989.
[Demigny, 2002] Demigny, D. On optimal linear filtering for edge detection. IEEE Trans. on Image
Processing, 11:728–737, 2002.
[Deriche, 1987] Deriche, R. Using Canny’s criteria to derive a recursively implemented optimal edge
detector. Int. Journal of Computer Vision, 2:167–187, 1987.
[Deriche, 1990] Deriche, R. Fast algorithms for low-level vision. IEEE Trans. on Pattern Analysis and
Machine Intelligence, 12:78–87, 1990.
[Deriche und Giraudon, 1993] Deriche, R., Giraudon, G. A computational approach for corner and vertex
detection. Int. Journal of Computer Vision, 10:101–124, 1993.
[Deussen und Strothotte, 2000] Deussen, O., Strothotte, T. Computer generated pen-and-ink illustration
of trees. In Proc. SIGGRAPH, S. 13–18. New Orleans, USA, 2000.
[Deutsch, 1972] Deutsch, E.S. Thinning algorithms on rectangular, hexagonal, and triangular arrays.
Communic. of the Association for Computing Machinery, 15:827–837, 1972.
[Dreschler, 1981] Dreschler, L. Ermittlung markanter Punkte auf den Bildern bewegter Objekte und
Berechnung einer 3D-Beschreibung auf dieser Grundlage. Dissertation, Fachbereich Informatik,