Fuzzy set theory is making many inroads into the handling of
uncertainty in various aspects of image processing and computer vision.
High level computer vision is a place that holds great potential for
fuzzy sets because of its natural linguistic capabilities. Scene
description, i.e., the language-based representation of regions and
their relationships, for either humans or higher automated reasoning
provides an excellent opportunity. In this paper we discuss aspects of
scene interpretation involving linguistic descriptions of spatial
relations between image objects.