An Attribute Fusion System Based on the Choquet Integral to Evaluate the Quality of Composite Parts

This paper presents an information fusion system based on the Choquet integral for the quality evaluation of composite material parts. The application deals with the detection of typical regions inside parts with the help of images. For this purpose, several attributes related to texture homogeneity and intensity gradient orientation are extracted from the X-ray images of composite material parts. These attributes are transformed into region detection degrees expressed under the form of similarity maps. To improve the detection of the typical regions, a fusion system based on the 2-additive Choquet integral is applied on the similarity maps to take the interactions between attributes into account. An unsupervised learning algorithm is used to estimate the Choquet integral parameters from the reference regions pointed out by experts. The results are compared to those obtained by a previous fusion approach based on the ldquoDecision Templatesrdquo.