Texture segmentation based on a hierarchical Markov random field model

@article{Hu1992TextureSB,
  title={Texture segmentation based on a hierarchical Markov random field model},
  author={Runmei Hu and Moustafa M. Fahmy},
  journal={Signal Processing},
  year={1992},
  volume={26},
  pages={285-305}
}
This paper presents a new texture segmentation technique for both supervised and unsupervised segmentation . The textured images under study are modeled by a proposed hierarchical Markov random field (MRF) model . This model is formed by combining the binomial model for textures and the multi-level logistic model For region distributions . The supervised segmentation is achieved by a new algorithm which can reach the global maxima of the posteriori distribution even if the textures are modeled… CONTINUE READING

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