Modeling of multiscale porous media using multiple Markov random fields

Poromechanics IV - 4th Biot Conference on Poromechanics

Volumn , Issue , 2009, Pages 435-440

  Liu, Y ^a   Mohebi, A ^a   Fieguth, P ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; MARKOV PROCESSES;

COMPLEX SCENES; LOW RESOLUTION; MARKOV RANDOM FIELDS; MULTIPLE SCALE; NONSTATIONARY; PRIOR MODELING;

POROUS MATERIALS;

EID: 84928156517     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. S. Geman and D. Geman. Stochastic relaxation, Gibbs distributions, and the bayesian restoration of images. IEEE Trans. PAMI, 6(6):721-741, 1984.
2. S. Torquato. Random heterogeneous materials: microstructure and macroscopic properties. Springer-Verlag, 2002.
3. D. Benboudjema and W. Pieczynski. Unsupervised image segmentation using triplet Markov fields. Computer Vision and Image Understanding, 99(3):476-498, 2005.
4. A. Mohebi and P. Fieguth. Posterior sampling of scientific images. ICIAR 2006, pages 339-350, 2006.
5. Y. Zhao, L. S. Andersen, and L. E. Atlas. Parameter estimation and restoration of noisy images using Gibbs distributions in hidden Markov models. ICASSP, 3:1421-1424, 1989.
6. J. Blanchet and F. Forbes. Triplet Markov field for the classification of complex structure data. research report RINRIA, 2007.
7. S. K. Alexander, P. Fieguth, and E. R. Vrscay. Hierarchical annealing for random image synthesis. EMMCVPR 2003, (2683): 194-210, 2003.