Aggregation Evaluation of a Fusion System Devoted to Image Interpretation

International audienceInformation fusion has been studied in various domains of computer sciences and engineering, and the use of these techniques has known a large increase. Fusion systems have become over time complex systems integrating information extraction, their representations in an appropriate space, their combinations and their interpretations. The performance evaluation of such systems has become a real problem. The choices of methods and parameter values have a significant impact on the quality of the results. A global evaluation of the fused result does not allow the end-users to adjust the numerous parameters. We propose a local approach to evaluate the mission completeness of the subparts of the fusion system. In this paper, we focuse on the formulation of the mission of fusion subparts and we measure their achievement degree. The aim is to provide to the end-users which subpart do not completely achieve the functionality they were designed for