Biomedical Engineering Reference
In-Depth Information
[68] Babaud, J., Witkin, A., Baudin, M., and Duba, R., Uniqueness of the
Gaussian kernel for scale-space filtering, IEEE Trans. Pattern Anal.
Mach. Intell., Vol. 8, pp. 26-33, 1986.
[69] Julez, B., A Theory of preattentive texture discrimination based on
first-order statistics of textons, Biol. Cybern., Vol. 41, pp. 131-138,
1981.
[70] Watson, A., Barlow, H., and Robson, J., What dose the eye see best?,
Nature, Vol. 302, pp. 419-422, 1983.
[71] Beck, J., Sutter, A., and Ivry, R., Spatial frequency channels and per-
ceptual grouping in texture segregation, Comput. Vis., Graph. Image
Process., Vol. 37, pp. 299-325, 1987.
[72] Daugman, J., Image analysis by local 2-D spectral signatures, J. Opt.
Soc. Am. A, Vol. 2, pp. 74, 1985.
[73] Unser, M., Texture classification and segmentation using wavelet
frames, IEEE Trans. Image Process., Vol. 4, No. 11, pp. 1549-1560,
1995.
[74] Laine, A. and Fan, J., Texture classification by wavelet packet sig-
natures, IEEE Trans. Pattern Anal. Mach. Intell., Vol. 15, No. 11, pp.
1186-1191, 1993.
[75] Laine, A. and Fan, J., Frame representation for texture segmentation,
IEEE Trans. Image Process., Vol. 5, No. 5, pp. 771-780, 1996.
[76] Hsin, H. and Li, C., An experiment on texture segmentation using mod-
ulated wavelets, IEEE Trans. Syst., Man Cybern., Vol. 28, No. 5, pp. 720-
725, 1998.
[77] Wang, J., Multiwavelet packet transform with application to tex-
ture segmentation, Electron. Lett., Vol. 38, No. 18, pp. 1021-1023,
2002.
[78] Acharyya, M. and Kundu, M., Document image segmentation using
wavelet scale-space features, IEEE Trans. Circuits Syst. Video Tech-
nol., Vol. 12, No. 12, pp. 1117-1127, 2002.
Search WWH ::




Custom Search