ROC graphs with instance-varying costs
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Toward a generic evaluation of image segmentation
IEEE Transactions on Image Processing
Application of quantitative MCDA methods for parameter setting support of an image processing system
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
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The use of fusion systems has known a wide growth and they now need reliable ways to evaluate their performance. Fusion systems are complex because they involve a complete information treatment chain (from the information extraction to the decision). This paper studies the different approaches used for system evaluation and proposes a local evaluation method for the evaluation of each subpart of the fusion system. The approach is then illustrated on cooperative fusion system devoted to 3D image interpretation.