An Ontology-Based Model for Representing Image Processing Objectives

Régis Clouard 1 Arnaud Renouf 1 Marinette Revenu 1
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : This paper investigates what kinds of information are necessary and sufficient to design and evaluate image processing software programs and proposes a representation of these information elements using a computational language performable by vision systems and understandable by experts. The language is built upon a formulation model which distinguishes the specification of a goal and the definition of an input image class. Goals are stated in terms of tasks together with result samples. Image classes are defined by both linguistic and iconic descriptions. The model is implemented as an OWL domain ontology which provides the primitives for the formulation language.
Keywords : Image Processing and Computer Vision Knowledge Acquisition Ontology Design
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Article dans une revue
International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 2010, 24 (8), pp.1181-1208. 〈10.1142/S0218001410008354〉
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Régis Clouard, Arnaud Renouf, Marinette Revenu. An Ontology-Based Model for Representing Image Processing Objectives. International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 2010, 24 (8), pp.1181-1208. 〈10.1142/S0218001410008354〉. 〈hal-00805699〉

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