Using the conflict: An application to sonar image registration

This paper presents an application of the theory of belief functions for classified images registration and fusion. We extend here some results developed on a previous paper to multiview images. For seabed characterization, we need to fuse the multi-view of sonar images to increase performances and build a complete mosaic. However, before fusion, we have to proceed to a classification of the data, and to an image registration. The proposed approach is based on the use of the conflict due to the combination as a dissimilarity measure in the classified images registration. The theory of belief functions allows an unique framework to model the imperfections and to fuse the classified images.