Nonparametric change estimation in 2D random fields

We consider the problem of change estimation in a 2D random field. Our goal is to estimate the locations of changes when they occur. We propose a nonparametric change estimator which can be implemented efficiently. Consistency result is derived for the proposed estimator under certain conditions. We analyze the performance of the proposed algorithms under several new estimation criteria.