ABSTRACT:
In this paper the notion of morphological granulometrical deconstruction and the respective algorithms developed to simulate images are presented. They are mainly based on geometrical constraints and appeal to mathematical morphology, geostatistical and genetic algorithms tools. The model is tested with a set constituted by images of 13 different portuguese granites and validated by a high matching degree of the morphological granulometries (in measure and in number) and of the variograms computed on the experimental and simulated images.
