A new approach to ultrasonic liver image classification

IEICE Transactions on Information and Systems

Volumn E83-D, Issue 6, 2000, Pages 1301-1308

  Lee, Jiann Shu ^a,d   Sun, Yung Nien ^b   Lin, Xi Zhang ^c  

^a Dept of Comp Sci and Info Eng ^*  (Taiwan)

^b DA YEH UNIVERSITY   (Taiwan)

^c NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^d NATIONAL CHENG KUNG UNIVERSITY HOSPITAL   (Taiwan)

Author keywords

Diffuse liver disease; Image classification; Multiscale; Sonogram; Wavelet transforms

Indexed keywords

IMAGE ANALYSIS; IMAGE QUALITY; MATRIX ALGEBRA; MEDICAL IMAGING; STATISTICAL METHODS; WAVELET TRANSFORMS;

SONOGRAMS;

ULTRASONIC IMAGING;

EID: 0033682947     PISSN: 09168532     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. R.M. Haralick, K. Shanmugam, and I. Dinstein, "Texture features for image classification," IEEE Trans. Syst., Man. & Cybern., vol.3, pp.G10-G21, 1973.
2. G.O. Lendaris and G.L. Stanley, "Diffraction pattern sampling for automatic pattern recognition," Proc. IEEE, vol.58, pp.198-216, 1970.
3. D.C. He and L. Wang, "Texture features based on texture spectrum," Pattern Recognition, vol.24, pp.391-399, 1991.
4. L. Wang and D.C. He, "Texture classification using the texture spectrum," Pattern Recognition, vol.23, no.3, pp.905-910, 1990.
5. D.C. He and L. Wang, "Unsupervised texture classification and segmentation using texture spectrum," Pattern Recognition, vol.25, no.3, pp.247-255, 1992.
6. L. Carlucci, "A formal system for texture languages," Pattern Recognition 4, pp.53-72, 1972.
7. [7j S. Tsuji and F. Tomita, "A structural analyzer for a class of textures," Comput. Graphics Image Process., vol.2, pp.216-231, 1973.
8. J.S. Wesaka, C.R. Dyer, and A. Rosenfeld, "A comparative study of texture measures for terrain classification," IEEE Trans. Syst., Man. & Cybern., vol.6, pp.269-285, 1976.
9. C.M. Wu and Y.C. Chen, "Multi-threshold dimension vector for texture analysis and its application to liver tissue classification," Pattern Recognition, vol.26, pp.137-144, 1993.
10. C.M. Wu and Y.C. Chen, "Statistical feature matrix for texture analysis," CVGIP: Graphical Models and Image Processing, vol.54, no.5, pp.407-419, 1992.
11. D.C. He, Li Wang, and J. Guibert, "Texture discrimination based on an optimal utilization of texture features," Pattern Recognition, vol.21, pp.141-146, 1988.
12. D.F. Specht, "Probabilistic neural networks," Neural Networks, vol.3, pp.109-118, 1990.
13. S.G. Mallat, "A theory of multiresolution signal decomposition: The wavelet representation," IEEE Trans. Pattern Anal, fc Mach. Intell., vol.11, pp.674-693, 1989.
14. K. Katagishi, T. Urushiyama, K. Toraichi, K. Wada, F. Yoshikawa, and S. Morokami, "On a criterion of selecting the best mother wavelet based on fluency wavelet analysis," IEEE Conf. pp.485-488, 1997.
15. K. Toraichi, "Fluency theory and wavelet analysis," The Japan Society of Acoustics, vol.46, no.G, pp.430-43G, 199G.
16. I. Daubechies, "Orthonormal bases of compactly supported wavelets," Comm. on Pure and Appl. Math., vol.41, pp.909-996, 1988.
17. I. Daubechies, Ten Lectures on Wavelets, SIAM, Philadephia, 1992.
18. G. Beylkin, R. Coifman, and V. Rokhlin, "Fast wavelet transforms and numerical algorithms," Comm. on Pure and Appl. Math., vol.44, pp.141-183, 1991.
19. I. Daubechies, "Orthonormal bases of compactly supported wavelets II. Variations on a theme," SIAM J. Math. Anal., vol.24, pp.499-519, 1993.
20. G. Battle, "A block spin construction of ondelettes, Part I: Lemarie functions," Comm. Math. Phys., vol.110, pp.601-015, 1987.
21. M. Unser, A. Aldroubi, and M. Eden, "A family of polynomial spline wavelet transforms," NCRR Report, National Institute of Health, vol. 153/90, 1990.