Based on Gibbs-Markov random field model and the Gamma distribution property of SAR image s speckle noise,global optimal pseudo likelihood estimation of radar cross-section can be achieved with simulated annealing algorithm.

Analysis of Wood Surface Texture Based on Gibbs-MRF;

Classification of wood surface texture based on Gauss-MRF Model;

Gauss-Markov random field model takes advantage of both image intensity and spatial information imposed by Gibbs smoothness prior to the pixel labels and thus can be used to effectively in segmenting the noisy images.

A Gaussian Markov random field is a multivariate Gaussian probabilistic model with Markov property.

This paper proposes a new patch-based sample texture synthesis algorithm based on Markov Random Field(MRF) model and otherrelated algorithms.

For the problem of depth information estimation of micro vision image,a defocus characteristic parameter model based on Markov random field(MRF)is presented,which converts the depth information estimation problem of defocus characteristics into the optimization problem of energy function.

In order to avoid the drawback of over-smoothness in the conventional Spatiotemporal Markov Random Field(MRF) model,a moving object segmentation technology based on Discontinuity Adaptive-Spatiotemporal Markov Random Field(DA-STMRF) model was proposed.