Numerical models of binary random fields on the basis of thresholds of Gaussian functions

We present a few numerical models of binary stochastic fields based on the thresholds of Gaussian functions and discuss the results of numerical experiments on estimating the models' parameters and simulation of the observed data. The considered models can be used, in particular, for texture analysis and synthesis, for simulation of stochastic structure of clouds in the atmosphere, as well as for solving other problems when statistical analysis and construction of binary random fields are a part of research.