Hal will be stopped for maintenance from friday on june 10 at 4pm until monday june 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

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 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.
Complete list of metadata

Cited literature [49 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00805699
Contributor : Yvain Queau Connect in order to contact the contributor
Submitted on : Thursday, March 28, 2013 - 4:09:06 PM
Last modification on : Tuesday, October 19, 2021 - 11:34:58 PM
Long-term archiving on: : Sunday, April 2, 2017 - 10:12:58 PM

File

IJPRAI-2010.pdf
Publisher files allowed on an open archive

Identifiers

Citation

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⟩

Share

Metrics

Record views

156

Files downloads

1536