Sonar image registration based on conflict from the theory of belief functions

This paper presents an application for classified image registration. The idea was developed on a previous paper, and this work presents the results on real data. For seabed characterization, we need to fuse the multiview of sonar images to increase performances. However, before fusion, we have to proceed to an image registration. The proposed approach is based on the use of the conflict due to the combination as a similarity measure in the classified images registration. This allows a good modelization of imperfections and has been employed with success for classifier fusion in image processing.