PROBABILISTIC FINITE MODELING THE STOCHASTIC ESTIMATION PROCESSES OF INTERFRAME GEOMETRIC IMAGE DEFORMATIONS
A method of probabilistic finite modeling of the procedure for stochastic estimation of interframe geometric image deformation parameters is proposed. The method is based on the discretization of deformation parameters domain and determining at each iteration the estimation of the probability vector of estimates drift. Using the probability density method, the estimation of interframe image deformation parameters generated by an unidentified relay procedure for a given finite number of iterations is considered. The average square of the interframe difference and the interframe correlation coefficient were used as the cost estimation functions.