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Underwater manmade and archaeological object detection in optical and acoustic data

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Abstract

We propose a method designed for processing acoustic and optical data producing information about the presence of manmade and archaeological objects lying on the seabed. This method statistically highlights this type of artifacts among surrounding environment, weighting properly the persistence of meaningful curves in a video sequence, or in a sonogram. To this aim, we made use of the ELSD algorithm, a parameterless method inspired by Gestalt principles which has proven to provide promising results.

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Correspondence to D. Moroni.

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The article is published in the original.

This article uses the materials of the report submitted at the 4th International Workshop “Image Mining. Theory and Applications”, Barcelona, Spain, February 2013

Davide Moroni. M.Sci. in Mathematics honours degree from the University of Pisa in 2001, dipl. at the Scuola Normale Superiore of Pisa in 2002, Ph.D. in Mathematics at the University of Rome’ La Sapienza’ in 2006, is a researcher at the Institute of Information Science and Technologies of the National Research Council of Italy, in Pisa. His main interests include geometric modelling, computational topology, image processing and medical imaging. At present he is involved in a number of European research projects working in discrete geometry and scene analysis. He is co-author of more than 30 scientific papers.

Maria Antonietta Pascali. (Galatina, 1981), M.Sci. in Mathematics honours degree from the University of Pisa in 2005, Ph.D. in Mathematics at the University of Rome “La Sapienza” in 2010, is a post-doctoral fellow at the Institute of Information Science and Technologies of the Italian National Research Council, in Pisa. Her main interests include geometric modelling, image processing and virtual environment. At present she is involved in a number of research projects concerning scene analysis and multi-sensor data fusion applied to underwater archaeology.

Marco Reggiannini. Born 1981, M. Sci. in Physics from the University of Pisa in 2009, he is currently a Ph.D. student in Automation, Robotics and Biomedical Engineering at the University of Pisa, he is a fellow researcher at the Institute of Information Science and Technologies of the National Research Council of Italy, in Pisa. His main interests include data integration techniques for image analysis and scene understanding. At present he is involved in a number of research projects concerning multi-sensor data analysis with application in underwater archaeology.

Ovidio Salvetti holds the position of Director of Research of the National Research Council of Italy (CNR) at the Institute of Information Science and Technologies (ISTI), in Pisa. He is working in the fields of theoretical and applied computer vision, multimedia, and computational intelligence. His research interests are image analysis and understanding, multimedia information systems, spatial modeling, decision support systems, and intelligent processes in computer vision. He is coauthor of seven books and monographs and more than four hundred technical and scientific articles; he is also owner of eleven patents regarding systems and software tools for image processing. Salvetti has been the Scientific Coordinator of more than 40 National and European research and industrial projects, in collaboration with Italian and foreign research groups, in the fields of computer vision, multimedia semantics, and high-performance computing for diagnostic imaging. He also worked as Vice Coordinator of the subproject Dedicated Processors of the CNR finalized program Information Systems and Parallel Computation and one of the promoters of the CNR strategic project Knowledge through Images. He is member on the editorial boards of the International Journals Pattern Recognition and Image Analysis, Forensic Computer Science, The Open Medical Informatics, Transactions on Mass-Data Analysis of Images and Signals, Transactions on Case-based Reasoning, and Atti della Fondazione “Giorgio Ronchi.” He currently participates as a Member of the working group on vision and image understanding in the European Research Consortium for Informatics and Mathematics (ERCIM) and of the IEEE CIS. Salvetti also works as an Associate Scientist of the research centre on Extreme Physiology at the Life Science Institute of the S. Anna Superior Study School in Pisa and a member of the steering committee of a number of EU Projects. At present, he heads the ISTI Signals and Images Laboratory.

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Moroni, D., Pascali, M.A., Reggiannini, M. et al. Underwater manmade and archaeological object detection in optical and acoustic data. Pattern Recognit. Image Anal. 24, 310–317 (2014). https://doi.org/10.1134/S1054661814020138

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