Deconstructing the morphological granulometrical distributions to simulate structures

In this paper shows that the notion of morphological granulometrical deconstruction allows one to simulate structures. The corresponding algorithms developed are based on geometrical constraints and appeal mainly to mathematical morphology. The model is validated through a high matching degree of the morphological granulometries (in measure and in number) and of the variograms, both computed on the experimental and simulated images