  The present work proposes the concept of induced percolation over
multiple-object systems, so that features such as the number of merged clusters
can be used as a relevant measurement. The suggested approach involves the
expansion of the objects while monitoring the evolving clusters. The potential
of the proposed methodology for characterizing the spatial interaction and
distribution between several objects is illustrated with respect to synthetic
and real data.
