%0 Conference Proceedings %T Mine Classification based on raw sonar data: an approach combining Fourier Descriptors, Statistical Models and Genetic Algorithms %+ Extraction et Exploitation de l'Information en Environnements Incertains (E3I2) %+ Thales Underwater Systems (TUS) %+ Lab-STICC_UBO_CACS_COM %+ Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192) (Lab-STICC) %A Quidu, Isabelle %A Malkasse, Jean-Philippe %A Burel, Gilles %A Vilbé, Pierre %< avec comité de lecture %( Proceedings of IEEE OCEANS'2000 %B IEEE OCEANS'2000 %C Providence, Rhode Island, United States %P xx %8 2000-09 %D 2000 %Z Engineering Sciences [physics]/Signal and Image processing %Z Engineering Sciences [physics]/Acoustics [physics.class-ph] %Z Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph] %Z Computer Science [cs]/Signal and Image ProcessingConference papers %X In the context of mine warfare, detected mines can be classified from their cast shadow. A standard solution is to perform image segmentation first (we obtain binary from graylevel image giving the label zero for pixels belonging to the shadow and the label one elsewhere), and then to perform a classification based on features extracted from the 2D-shape of the segmented shadow. Consequently, if a mistake happens during the process, it will be propagated through the following steps. In this paper, to avoid such drawbacks, we propose a novel approach where a dynamic segmentation scheme is fully classification-oriented. Actually, classification is performed directly from the raw image data. The approach is based on the combination of deformable models, genetic algorithms, and statistical image models. %G English %2 https://ensta-bretagne.hal.science/hal-00504817/document %2 https://ensta-bretagne.hal.science/hal-00504817/file/Oceans00geneticAlgos.pdf %L hal-00504817 %U https://ensta-bretagne.hal.science/hal-00504817 %~ UNIV-BREST %~ INSTITUT-TELECOM %~ ENSTA-BRETAGNE %~ CNRS %~ UNIV-UBS %~ LAB-STICC_UBO_CACS_COM %~ LAB-STICC_UBO_CACS %~ LAB-STICC_UBO %~ ENIB %~ LAB-STICC_ENIB %~ LAB-STICC %~ IBNM %~ INSTITUTS-TELECOM