  The study of shapes of the images of objects is an important issue not only
because it reveals its dynamical state but also it helps to understand the
object's evolutionary history. We discuss a new technique in cosmological image
analysis which is based on a set of non-parametric shape descriptors known as
the Minkowski Functionals (MFs). These functionals are extremely versatile and
under some conditions give a complete description of the geometrical properties
of objects. We believe that MFs could be a useful tool to extract information
about the shapes of galaxies, clusters of galaxies and superclusters. The
information revealed by MFs can be utilized along with the knowledge obtained
from currently popular methods and thus could improve our understanding of the
true shapes of cosmological objects.
