Segmentation of textured images using a multiresolution Gaussian autoregressive model

IEEE Transactions on Image Processing

Volumn 8, Issue 3, 1999, Pages 408-420

  Comer, Mary L ^a,b   Delp, Edward J ^a,c  

^a IEEE   (United States)

^b PURDUE UNIVERSITY   (United States)

^c Thomson Consumer Electronics   (United States)

Author keywords

Image segmentation; Multiscale image analysis; Texture segmentation

Indexed keywords

ALGORITHMS; IMAGE ANALYSIS; MARKOV PROCESSES;

MULTIRESOLUTION GAUSSIAN AUTOREGRESSIVE MODEL;

IMAGE SEGMENTATION;

EID: 0033101403     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.748895     Document Type: Article

References (23)

1. C. Bouman and M. Shapiro, "A multiscale random field model for Bayesian image segmentation," IEEE Trans. Image Processing, vol. 3, no. 2, pp. 162-177, Mar. 1994.
2. C. Bouman and B. Liu, "Multiple resolution segmentation of textured images," IEEE Trans.Pattern Anal. Machine Intell., vol. 13, pp. 99-113, Feb. 1991.
3. I. Ng, J. Kittler, and J. Illingworth, "Supervised segmentation using a multiresolution data representation," Signal Process., vol. 31, pp. 133-163, Mar. 1993.
4. Z. Kato, M. Berthod, and J. Zerubia, "Multiscale Markov random field models for parallel image classification," in Proc. 4th Int. Conf. Comput. Vis., Berlin, Germany, May 1993.
5. J. Mao and A. K. Jain, "Texture classification and segmentation using multiresolution simultaneous autoregressive models," Pattern Recognit., vol. 25, pp. 173-188, Feb. 1992.
6. S. Krishnamachari and R. Chellappa, "Multiresolution Gauss Markov random field models," Tech. Rep., Univ. Maryland, College Park, Jan. 1995.
7. M. L. Comer and E. J. Delp, "Multiresolution image segmentation," in Proc. 1995 IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Detroit, MI, May 1995, pp. 2415-2418.
8. M. Luettgen and A. Willsky, "Likelihood calculation for a class of multiscale stochastic models, with application to texture discrimination," IEEE Trans. Image Processing, vol. 4, pp. 194-207, Feb. 1995.
9. M. L. Comer, "Multiresolution image processing techniques with applications in texture segmentation," Ph.D. dissertation, Purdue Univ., West Lafayette, IN, Dec. 1995.
10. J. Marroquin, S. Mitter, and T. Poggio, "Probabilistic solution of illposed problems in computational vision," J. Amer. Stat. Assoc., vol. 82, pp. 76-89, Mar. 1987.
11. M. L. Comer and E. J. Delp, "Parameter estimation and segmentation of noisy or textured images using the EM algorithm and MPM estimation," in Proc. 1994 IEEE Int. Conf. Image Processing, Austin, TX, Nov. 1994, pp. 650-654.
12. _, "The EM/MPM algorithm for segmentation of textured images: Analysis and further experimental results," submitted for publication; also available at ftp://skynet.ecn.purdue.edu/pub/dist/delp/segment.
13. _, "The EM/MPM algorithm for segmentation of textured images: Analysis and further experimental results," in Proc. 1996 IEEE Int. Conf. Image Processing, Lausanne, Switzerland, Sept. 1996, pp. 947-950.
14. P. J. Burt and E. H. Adelson, "The Laplacian pyramid as a compact image code," IEEE Trans. Commun., vol. COMM-31, pp. 532-540, Apr. 1983.
15. H. Derin and H. Elliott, "Modeling and segmentation of noisy and textured images using Gibbs random fields," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-9, pp. 39-55, Jan. 1987.
16. P. A. Kelly, H. Derin, and K. D. Hart, "Adaptive segmentation of speckled images using a hierarchical random field model," IEEE Trans. Acoust., Speech, Signal Processing, vol. 36, pp. 1626-1641, Oct. 1988.
17. S. Lakshmanan and H. Derin, "Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing," IEEE Trans. Pattern Anal. Machine Intell., vol. 11, pp. 799-813, Aug. 1989.
18. J. Besag, "Spatial interaction and the statistical analysis of lattice systems," J. R. Stat. Soc. B, vol. 36, pp. 192-236, 1974.
19. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and Bayesian restoration of images," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-6, pp. 721-741, Nov. 1984.
20. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. R. Stat. Soc. B, vol. 39, pp. 1-38, 1977.
21. C. F. J. Wu, "On the convergence properties of the EM algorithm," Ann. Stat., vol. 11, pp. 95-103, 1983.
22. R. A. Redner and H. F. Walker, "Mixture densities, maximum likelihood and the EM algorithm," Soc. Indust. Appl Math. Rev., vol. 26, pp. 195-239, Apr. 1984.
23. M. Aitkin and D. B. Rubin, "Estimation and hypothesis testing in finite mixture models," J. R. Stat. Soc. B, vol. 47, pp. 67-75, 1985.