Integrating Ontologies and Computer Vision for Classification of Objects in Images

In this paper, we propose an integrated system that interfaces computer vision algorithms for the recognition of simple objects with an ontology that handles the recognition of complex objects by means of reasoning. We develop our theory within a foundational ontology and we present a formalization of the process of conferring meaning to images.