A general method for solving stereological problems for particle syste
ms is applied to polyhedron structures. We suggested computing the ker
nel function of the respective stereological integral equation by mean
s of computer simulation. Two models of random polyhedrons are investi
gated. First, regular prisms are considered which are described by the
ir size and shape. The size-shape distribution of a stationary and iso
tropic spatial ensemble of regular prisms can be estimated from the si
ze-shape distribution of the polygons observed in a section plane. Sec
ondly, random polyhedrons are constructed as the convex hull of points
which are uniformly distributed on surfaces of spheres. It is assumed
that the size of the polyhedrons and the number of points (i.e. the n
umber of vertices) are random variables. Then the distribution of a sp
atially distributed ensemble of polyhedrons is determined by its size-
number distribution. The corresponding numerical density of this bivar
iate size-number distribution can be stereologically determined from t
he estimated numerical density of the bivariate size-number distributi
on of the intersection profiles.