In this paper,
we introduce a system able to generate an intuitive, human-like
linguistic description of the topological relationships between two
objects. The description includes approximate terms commonly found in
daily communications. It attempts to capture the essential
characteristics of the relationships, while leaving out superfluous and
possibly overwhelming detail. The objects are 2-D image objects. They
need not be convex, nor connected, and they may have holes in them.
Each description is built around Allen relations, based on information
extracted from F-histograms. It consists of a topological component
that indicates the primary topological relationships, directional
estimates of where these relationships are most prominent, and a
self-assessment component which reflects the complexity of the
situation. Experiments on synthetic and real data validate the approach.