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EVOW
2008
Springer

An Evolutionary Approach for Ontology Driven Image Interpretation

8 years 10 months ago
An Evolutionary Approach for Ontology Driven Image Interpretation
Image mining and interpretation is a quite complex process. In this article, we propose to model expert knowledge on objects present in an image through an ontology. This ontology will be used to drive a segmentation process by an evolutionary approach. This method uses a genetic algorithm to find segmentation parameters which allow to identify in the image the objects described by the expert in the ontology. The fitness function of the genetic algorithm uses the ontology to evaluate the segmentation. This approach does not needs examples and enables to reduce the semantic gap between automatic interpretation of images and expert knowledge.
Germain Forestier, Sébastien Derivaux, C&ea
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where EVOW
Authors Germain Forestier, Sébastien Derivaux, Cédric Wemmert, Pierre Gançarski
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