A new stochastic image model based on Markov random fields and its application to texture modeling
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[1] Qolamreza R. Razlighi,et al. Computation of Image Spatial Entropy Using Quadrilateral Markov Random Field , 2009, IEEE Transactions on Image Processing.
[2] Yang Wang,et al. Joint Random Field Model for All-Weather Moving Vehicle Detection , 2010, IEEE Transactions on Image Processing.
[3] D. K. Pickard,et al. Unilateral Markov fields , 1980, Advances in Applied Probability.
[4] Donald Geman,et al. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .
[5] Haluk Derin,et al. Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Laveen N. Kanal,et al. Classification of binary random patterns , 1965, IEEE Trans. Inf. Theory.
[7] Sumana Gupta,et al. A Fast Nonparametric Noncausal MRF-Based Texture Synthesis Scheme Using a Novel FKDE Algorithm , 2010, IEEE Transactions on Image Processing.
[8] J. Besag. Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .
[9] Donald Geman,et al. Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled by Markov Random Fields , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.