Separability-based multiscale basis selection and feature extraction for signal and image classification

IEEE Transactions on Image Processing

Volumn 7, Issue 10, 1998, Pages 1453-1465

  Etemad, Kamran ^b   Chellappa, Rama ^a,c  

^a IEEE   (United States)

^b HUGHES NETWORK SYSTEMS   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

Author keywords

Basis selection; Dimensionality reduction; Document images; Radar signatures; Segmentation; Separability; Textures; Wavelet packets

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION;

SEPARABILITY-BASED MULTISCALE BASIS SELECTION;

FEATURE EXTRACTION;

EID: 0032188344     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.718485     Document Type: Review

References (35)

1. X. D. Huang, Y. Akiri, and M. A. Jack, Hidden Markov Models for Speech Recognition. Edinburgh, U.K.: Edinburgh Univ. Press 1990.
2. R. Chellappa, "Two dimensional discrete Gaussian Markov random field models for image processing," in Progress in Pattern Recognition, L. N. Kanal and A. Rosenfeld, Eds. Amsterdam, The Netherlands: North Holland, 1985, pp. 79-112.
3. C. L. Nikias, "Higher order spectral analysis," in Advances in Spectrum Analysis and Array Processing, Simon Haykin, Ed., vol. 1. Englewood Cliffs, NJ: Prentice-Hall, 1991, pp. 326-365.
4. P. C. Chen and T. Pavlidis, "Segmentation by texture using correlation," IEEE Trans. Pattern Anal. Machine Intell., vol. 5, pp. 64-69, Jan. 1983.
5. A. K. Jain and F. Farrokhnia, "Unsupervised texture segmentation using Gabor filters," Pattern Recognit., vol. 24, pp. 1167-1186, 1991.
6. J. Ghosh and A. C. Bovik, "Neural networks for textured image processing," in Progress in Artificial Neural Networks and Statistical Pattern Recognition. K. Sethi and A. K. Jain, Eds. Amsterdam, The Netherlands: North Holland, 1991, pp. 133-154.
7. O. Riol and M. Vetterli, "Wavelets and signal processing," IEEE Signal Processing Mag., pp. 14-38, Oct. 1991.
8. R. E. Learned, W. C. Karl, and A. S. Willsky, "Wavelet packet based transient signal classification," Proc. IEEE Conf. Time Scale and Time Frequency Analysis, 1992, pp. 109-112.
9. M. Desai and D. Shazeer, "Acoustic transient analysis using wavelet decomposition," Proc. IEEE Conf. Neural Networks for Ocean Engineering, 1991.
10. A. J. Devaney and B. Hiscomez, "Wavelet signal processing for radar target identification: A scale sequential approach," in Wavelet Applications, H. H. Szu, Ed. SPIE 2242, pp. 389-399, Apr. 1994.
11. T. Chang and C. C. J. Kuo, "Texture analysis and classification with tree structured wavelet transform," IEEE Trans. Image Processing, vol. 2, pp. 429-440, Oct. 1993.
12. M. Unser and M. Eden, "Multi-resolution feature extraction and selection for texture segmentation," IEEE Trans. Pattern Anal. Machine Intell., vol. 11, pp. 717-728, July 1989.
13. Y. C. Lin, T. Chang, and C. C. J. Kuo, "Texture segmentation sing wavelet packets," in Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing A. F. Laine, Ed., pp. 277-287, 1993.
14. K. Etemad, R. Chellappa, and D. Doermann, "Page segmentation using wavelet packets and decision integration," Oct. 1994, Proc. Int. Conf. Pattern Recognit., vol. 2, pp. 345-349.
15. R. L. De Valios and K. K. De Valios, Spatial Vision. New York: Oxford, 1990.
16. X. Yang, K. Wang, and S. A. Shamma, "Auditory representations of acoustic signals," IEEE Trans. Inform. Theory, vol. 38, pp. 824-839, Mar. 1992.
17. K. Fukunaga, "Introduction to statistical pattern recognition," 2nd ed. New York: Academic, 1990.
18. P. A. Devijver and J. Kittler, "Pattern Recognition, a Statistical Approach. Englewood Cliffs, NJ: Prentice-Hall, 1986.
19. R. R. Coifman and M. V. Wickerhauser, "Entropy based algorithms for best basis selection," IEEE Trans. Inform. Theory, vol. 38, pp. 713-718, Mar. 1992.
20. S. Mallat and Z. Zhang, "Matching pursuit with time frequency dictionaries," IEEE Trans. Signal Processing, Special Issue on Wavelets and Signal Processing, vol. 41, pp. 3397-3415, Dec. 1993.
21. N. Saito and R. R. Coifman, "Local discriminant basis," in Proc. SPIE 2303, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, A. F. Laine and M. A. Unser, Eds., pp. 2-14, July 1994.
22. S. G. Mallat, "A theory for multi-resolution signal decomposition, the wavelet representation," IEEE Trans. Pattern Anal. Machine Intell., vol. 11, pp. 674-693, July 1989.
23. I. Daubechies, "Orthonormal basis of compactly supported wavelets," Commun. Pure Appl. Math., vol. 41, pp. 909-996, 1988.
24. J. W. Woods and S. D. O'Neil, "Sub-band coding of images," IEEE Trans. Acoust., Speech, Signal Processing, vol. 5, pp. 1278-1288, Oct. 1986.
25. M. Antoniony, M. Barlaud, P. Mathieu, and I. Daubechies, "Image coding using wavelet transform," IEEE Trans. Image Processing, vol. 1, pp. 205-220, Apr. 1992.
26. K. Ramchandran and M. Vetterli, "Best wavelet packet bases in a rate-distortion sense," IEEE Trans. Image Processing, vol. 2, pp. 160-175, Apr. 1993.
27. T. M. Cover and J. A. Thomas, Elements of Information Theory. New York: Wiley, 1992.
28. K. Etemad and R. Chellappa, "Separability based tree structured basis selection for texture classification," in Proc. First Int. Conf. Image Processing, Nov. 1994, pp. 441-445.
29. S. Furui, "Research on individuality features in speech waves and automatic speaker recognition techniques," Speech Commun., vol. 5, 1986.
30. D. Rumelhart and J. McCelland, Parallel Distributed Processing, vol. 1. Cambridge, MA: MIT Press, pp. 322-328.
31. J. C. Bezdek and S. K. Pal, Eds., Fuzzy Models and Pattern Recognition. Piscataway, NJ: IEEE Press, 1992.
32. B. Kosko, Neural Networks and Fuzzy Systems. Englewood Cliffs, NJ: Prentice-Hall, 1992.
33. R. P. Lippmann, "An introduction to computing with neural nets," IEEE Acoust., Speech, Signal Processing Mag., Apr. 1987, pp. 4-22.
34. R. L. Watrous, "GRADSIM: A connectionist network simulator using gradient optimization techniques," TR MS-CIS-88-16, Univ. Pennsylvania, Mar. 1988.
35. K. Etemad, R. Chellappa, and D. Doermann, "Document page decomposition by integration of distributed soft decisions," in Proc. IEEE, WCCI-ICNN, Orlando, FL, June 1994, pp. 4022-4027.