Exploiting Spatial Context in Image Region Labelling Using Fuzzy Constraint Reasoning

Abstract

We present an approach for integrating explicit knowledge about the spatial context of objects into image region labelling. Our approach is based on spatial prototypes that represent the typical arrangement of objects in images. We use Fuzzy Constraint Satisfaction Problems as the underlying formal model for producing a labelling that is consistent with the spatial constraints of prototypes.