Local evaluation of a fusion system for 3D tomographic image interpretation
Résumé
Information fusion has been studied in various domains of computer sciences and engineering, and these techniques have increasingly been used. Such systems aim to build new interesting information from much information. Over the time, fusion systems have become complex systems integrating information extraction, representations, combinations and 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 results does not allow the end-users to adjust the numerous parameters. We propose a local approach to evaluate the mission completeness of the fusion system subparts. In this paper, we focus on the formulation of the mission of extraction subparts and we measure their degree of achievement. We aim at showing the end-users which subparts do not completely achieve the functionality they were designed for.