How to perform texture recognition from stochastic modeling in the wavelet domain

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2011, Pages 4320-4323

  Atto, Abdourrahmane M ^a   Berthoumieu, Yannick ^a  

^a UNIVERSITÉ DE BORDEAUX   (France)

Author keywords

Similarity; Stochastic modeling; Texture; Wavelets

Indexed keywords

CONTENT BASED RETRIEVAL; SIGNAL PROCESSING; STOCHASTIC MODELS; TEXTURES;

CONTENT BASED IMAGE RETRIEVAL; GOODNESS-OF-FIT MEASURE; RETRIEVAL RATE; SIMILARITY; TEXTURE RECOGNITION; TEXTURE RETRIEVAL; WAVELET COEFFICIENTS; WAVELETS;

STOCHASTIC SYSTEMS;

EID: 80051606386     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947309     Document Type: Conference Paper

References (15)

1. M. N. Do and M. Vetterli, "Wavelet-based texture retrieval using generalized gaussian density and kullback-leibler distance," IEEE Transactions on Image Processing, vol. 11, no. 2, pp. 146-158, Feb. 2002.
2. R. Kwitt and A. Uhl, "Image similarity measurement by kullback-leibler divergences between complex wavelet subband statistics for texture retrieval," IEEE International Conference on Image Processing, ICIP, San Diego, California, USA, 12-15 October, pp. 933-936, 2008.
3. Y. Stitou, N. Lasmar, and Y. Berthoumieu, "Copulas based multivariate gamma modeling for texture classification," IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, Nevada, USA, 19-24 April, pp. 1045-1048, 2009.
4. N. Lasmar and Y. Berthoumieu, "Multivariate statistical modeling for texture analysis using wavelet transforms," IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Dallas, Texas, USA, 14-19 March, 2010.
5. A. M. Atto and D. Pastor, "Central limit theorems for wavelet packet decompositions of stationary random processes," IEEE Transactions on Signal Processing, vol. 58, no. 2, pp. 896-901, Feb. 2010.
6. A. M. Atto, D. Pastor, and A. Isar, "On the statistical decorrelation of the wavelet packet coefficients of a band-limited wide-sense stationary random process," Signal Processing, vol. 87, no. 10, pp. 2320-2335, Oct. 2007.
7. J. Zhang and G. Walter, "A wavelet-based KL-like expansion for wide-sense stationary random processes," IEEE Transactions on Signal Processing, vol. 42, no. 7, pp. 1737-1745, July 1994.
8. A. M. Atto, D. Pastor, and G. Mercier, "Wavelet packets of fractional brownian motion: Asymptotic analysis and spectrum estimation," IEEE Transactions on Information Theory, vol. 56, no. 9, Sep. 2010.
9. P. F. Craigmile and D. B. Percival, "Asymptotic decorrelation of between-scale wavelet coefficients," IEEE Transactions on Information Theory, vol. 51, no. 3, pp. 1039-1048, Mar. 2005.
10. T. Kato and E. Masry, "On the spectral density of the wavelet transform of fractional brownian motion," Journal of Time Series Analysis, vol. 20, no. 50, pp. 559-563, 1999.
11. P. Flandrin, "Wavelet analysis and synthesis of fractional brownian motion," IEEE Transactions on Information Theory, vol. 38, no. 2, pp. 910-917, Mar. 1992.
12. R. R. Coifman and D. L. Donoho, Translation invariant de-noising. Lecture Notes in Statistics, 1995, no. 103, pp. 125-150.
13. J. F. J. Massey, "The kolmogorov-smirnov test for goodness of fit," Journal of the American Statistical Association, vol. 253, no. 2, pp. 68-78, Mar. 1951.
14. J. F. Kenney and E. S. Keeping, Mathematics of Statistics, Pt. 2, Princeton, Ed. Van Nostrand, 1951.
15. T. W. Anderson and D. A. Darling, "Asymptotic theory of certain "goodness-of-fit" criteria based on stochastic processes," Annals of Mathematical Statistics, vol. 23, pp. 193-212, 1952.