Statistical analysis of images reveals two interesting properties:(i) invariance of image
statistics to scaling of images, and (ii) non-Gaussian behavior of image statistics, ie high …

This book covers methods of Mathematical Morphology to model and simulate random sets
and functions (scalar and multivariate). These models concern many physical situations in …

This paper illustrates the use of automatic image analysis technique to investigate the
morphology of cement, concrete and fibre-reinforced concrete. First the methods to be used …

In this article, we study a particular example of general random tessellation, the dead leaves
model. This model, first studied by the mathematical morphology school, is defined as a …

Simulation plays an important role in stochastic geometry and related fields, because all but
the simplest random set models tend to be intractable to analysis. Many simulation …

Publisher Summary Mathematical morphology (MM) or simply morphology can be defined
as a theory for the analysis of spatial structures. It is called morphology because it aims at …

The aim of this paper is to reproduce the texture of rough surfaces by means of simulations
of probabilistic random function models. The studied texture is obtained by a physical …

Ce mémoire porte sur des propriétés essentielles de la matière organique (MO), telles que
sa capacité à enregistrer l'histoire thermique d'un bassin, des événements thermiques plus …

In this paper, we recall the development of image analysis techniques during this last
century and give briefly some basements of image analysis and mathematical morphology …

This paper presents different probabilistic models which are based (i) for monophased
materials on closed random sets (RACSs) and space tessellation such as Voronoi, Johnson …