  Inertia Axes are involved in many techniques for image content measurement
when involving information obtained from lines, angles, centroids... etc. We
investigate, here, the estimation of the main axis of inertia of an object in
the image. We identify the coincidence conditions of the Scale Space Radon
Transform (SSRT) maximum and the inertia main axis. We show, that by choosing
the appropriate scale parameter, it is possible to match the SSRT maximum and
the main axis of inertia location and orientation of the embedded object in the
image. Furthermore, an example of use case is presented where binary objects
central symmetry computation is derived by means of SSRT projections and the
axis of inertia orientation. To this end, some SSRT characteristics have been
highlighted and exploited. The experimentations show the SSRT-based main axis
of inertia computation effectiveness. Concerning the central symmetry, results
are very satisfying as experimentations carried out on randomly created images
dataset and existing datasets have permitted to divide successfully these
images bases into centrally symmetric and non-centrally symmetric objects.
