References
- F. S. Cohen and D. B. Cooper. Simple parallel hierarchical and relaxation algorithms for segmenting noncausal Markovian random fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 9(2), 195-219, 1987
- S. Geman and D. Geman. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6(6), 721-741, 1984
- R. Hu and M. M. Fahmy. Texture segmentation based on a hierarchical Markov random field model. Signal Processing, 26, 285-305, 1992 https://doi.org/10.1016/0165-1684(92)90117-F
- S. Lakshmanan and H. Derin. Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(8), 799-813, 1989 https://doi.org/10.1109/34.31443
- B. S. Manjunath, R. Chellappa. Unsupervised texture segmentation using Markov random field models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(5), 478-482, 1991 https://doi.org/10.1109/34.134046
- H. H. Nguyen and P. Cohen. Gibbs random fields, fuzzy clustering, and the unsupervised segmentation of textured images. CVGIP: Graphical Models and Image Processing, 55(1), 1-19, 1993 https://doi.org/10.1006/cgip.1993.1001
- C. S. Won and H. Derin. Unsupervised segmentation of noisy and textured images using Markov random fields. CVGIP: Graphical Models and Image Processing, 54(4), 308-328, 1992 https://doi.org/10.1016/1049-9652(92)90078-C
- P. Andrey and P. Tarroux. Unsupervised segmentation of Markov random field modeled textured images using selectionist relaxation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(3), 252-262, 1998 https://doi.org/10.1109/34.667883
- S. Z. Li Markov Random Field Modeling in Computer Vision. Springer-Verlag, Tokyo, 1995
- G. R. Cross and A. K. Jain. Markov random field texture models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 9, 25-39, 1983