Abstract
Acoustic imaging is an active research field that aims to study techniques for the formation and processing of images generated by raw signals acquired by an acoustic system [1]. Our purpose is to present a brief survey concerning the generation and processing of acoustic images for underwater applications [2,3], especially focusing on algorithms for three-dimensional (3-D) imaging. Like optical systems, acoustic systems can generate an image by processing the waves backscattered from the objects of a scene. The relative ease of measuring the timeof-flight of an acoustic signal makes it possible to generate not only acoustic 2-D images similar to optical ones but also range estimates that can be used to produce a real 3-D map.
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References
A. Macovski, “Ultrasonic Imaging Using Arrays,” IEEE Proceedings, vol. 67, pp. 484–495, April 1979.
J.L. Sutton, “Underwater Acoustic Imaging,” IEEE Proceedings, vol. 67, pp. 554–566, April 1979.
V. Murino and A. Trucco, “Three-Dimensional Image Generation and Processing in Underwater Acoustic Vision,” IEEE Proceedings, vol. 88, pp. 1903–1946, December 2000.
O. George and R. Bahl, “Simulation of Backscattering of High Frequency Sound From Complex Objects and Sand Sea-Bottom,” IEEE Jour. Ocean. Engin., vol. 20, pp. 119–130, April 1995.
T.L. Henderson and S.G. Lacker, “Seafloor Profiling by a Wideband Sonar: Simulation, Frequency-Response, Optimization, and Results of a Brief Sea Test,” IEEE Jour. Ocean. Engin. , vol. 14, pp. 94–107, January 1989.
B.D. Steinberg and H.M. Subbaram, Microwave Imaging Technique, J. Wiley & Sons, New York, 1991.
J.W. Goodman, Introduction to Fourier Optics, McGraw-Hill, New York, 1968.
L.J. Ziomek, “Three Necessary Conditions for the Validity of the Fresnel Phase Approximation for the Near-Field Beam Pattern of an Aperture,” IEEE Journal of Oceanic Engineering, vol. 18, pp. 73–75, January 1993.
R.O. Nielsen, Sonar Signal Processing, Artech House, Boston, 1991.
J.S. Jaffe, P.M. Cassereau, and D. J. Glassbrenner, “Code Design and Performance Characterization for Code Multiplexed Imaging,” IEEE Trans. Acoustics, Speech, Sig. Proc. , vol. 38, pp. 1321–1329, August 1990.
J.C. Bu, C. J. M. van Ruiten, and L. F. van der Wal, “Underwater Acoustical Imaging Algorithms,” Proc. Europ. Conf. on Underwater Acoustics, Luxembourg, pp. 717–720, September 1992.
R.K. Hansen and P.A. Andersen, “3D Acoustic Camera for Underwater Imaging,” in Acoustical Imaging, Yu Wei and Benli Gu, Eds., vol. 20, pp. 723–727, New York, 1993, Plenum Press.
R.K. Hansen and P.A. Andersen, “A 3D Underwater Acoustic Camera Properties and Applications,” in Acoustical Imaging, P. Tortoli and L. Masotti, Eds., vol. 22, 22nd Int. Symposium, pp. 607–611, New York, 1996, Plenum Press.
R.K. Hansen and P.A. Andersen, “The Application of Real Time 3D Acoustical Imaging,” IEEE/OES Int. Conf. Oceans’98, Nice, France, pp. 738–741, September 1998.
R. Hoffman and A. K. Jain, “Segmentation and Classifi cation of Range Images,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 9, n. 5, pp. 608–619, September 1987.
Y. Shirai, “Three-Dimensional Computer Vision,” Springer-Verlag, Germany, 1987.
M.A. Wami and B.G. Batchelor, “Edge-Region-Based segmentation of Range Images,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 16, n. 3, pp. 314–319, 1994.
O.R.P. Bellon and C.L. Tozzi, “An Integrated Approach for Segmentation and Representation of Range Image,” ICAP’97, pp. 279–286, 1997.
D. Zhao, X. Zhang, “Range-Data-Based Object Surface Segmentation via Edges and Critical Points,” IEEE Trans. on Image Processing, vol. 6, n. 6, pp. 826–820, June 1997
.R.W. Taylor, M. Savini, and A.P. Reeves, “Fast Segmentation of Range Image into Planar Region,” Computer vision, graphics, and image processing, vol. 45 pp. 42–60, 1989.
P. J. Besl and R.C. Jain “Invariant Surface Characteristic for 3D Object Recognition in Range Images,” Computer vision, graphics, and image processing, vol. 33 pp. 33–80, 1986.
S.Z. Li, “Toward 3D Vision Range Images: An Optimization Framework and Parallel Networks,” CVGIP: Image Understanding, vol. 55, n. 3, pp. 231–260, 1992.
E. Trucco and R. B. Fisher “Experiments in Curvature — Based Segmentation of Range Data,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 17, n. 2, pp. 177–182, 1995.
N. Yokoya and M. D. Levine “Range Image Segmentation of Differential Geometry: A Hybrid Approach,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 11, n. 6, pp. 643–649, June 1989.
P.J. Besl and R.C. Jain, “Segmentation Through Variable-Order Surface Fitting,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 10, n. 2, pp. 167–192, March 1988.
S.M. Bhandarkar and A. Siebert, “Integrating Edge and Surface Information for Range Image Segmentation,” Pattern Recognition, vol. 25, n. 9, pp. 947–962, 1992.
D.P. Mital, E.K. Teoh, and A.W.T. Lim, “A Hybrid Method towards the Segmentation of Range Images for 3-D Object Recognition,” Int. Journal on Pattern Recognition and Artificial Intelligence, vol. 8, pp. 869–995, 1994.
R.S. Beattie and S. C. Elder, “Side Scan Sonar Image Restoration using Simulated Annealing and Iterative Conditional Modes,” Proc. Int. Conf. on Sonar Signal Processing, Loughborough (UK), pp. 161–167, December 1995.
A. Blake and A. Zisserman, Visual Reconstruction, MIT Press, Cambridge, 1987.
S. Show and J. Arnold, “Automated Error Detection in Multibeam Bathymetry Data,” Proc. IEEE OCEANS’93, Victoria (Canada), vol. II, pp. 89–94, 1993.
R. Szelinsky, Bayesian Modeling of Uncertainty in Low-Level Vision, Kluver Academic Publ., Boston, 1989.
S. Dugelay, J.M. Augustin, and C. Graffigne, “Segmentation of Multibeam Acoustic Imagery in the Exploration of the Deep Sea Bottom,” 13th Int. Conf. on Pattern Recognition, Vienna, pp. 437–445, August 1996.
L.V. Subramaniam and R. Bahl, “Segmentation and Surface Fitting of Sonar Images for 3D Visualization,” Proc. 8th Int. Symp. on Unmanned Untethered Submersible Technology, Durham (NH, USA), pp. 290–298, September 1995.
M. Mignotte, C. Collet, P. Perez, and P. Bouthemy, “Unsupervised segmentation applied on sonar images,” in Energy Minimization Methods in Computer Vision and Pattern Recognition, Lecture Notes in Computer Science 1223, pp. 491–506, 1997.
B.R. Calder, L.M. Linnett, and S. J. Clarke, “Spatial Interaction Models for Sonar Image Data,” Proc. Int. Conf. on Sonar Signal Processing, Loughborough (UK), pp. 81–90, December 1995.
J. Besag, “On the Statistical Analysis of Dirty Pictures,” Journal of the Royal Statistical Society, vol. B-48, pp. 259–302, 1986.
D.R. Carmichael, L.M. Linnett, and S. J. Clarke, “A Multiresolution Directional Operator for Sidescan Sonar Image Analysis,” Proc. Int. Conf. on Sonar Signal Processing, Loughborough (UK), pp. 49–57, December 1995.
L.M. Linnett, S.J. Clarke, and D.R. Carmichael, “The Analysis of Sidescan Sonar Images for Seabed Types and Objects,” Proc. 2nd Conf. on Underwater Acoustics, pp. 733–738, Copenhagen, July 1994.
B. Zerr and B. Stage, “Three-dimensional reconstruction of underwater objects from a sequence of sonar images,” IEEE Int. Conf. on Image Processing, vol. 3, pp. 927–930, September 1996.
P.G. Auran and K.E. Malvig, “Realtime extraction of connected components in 3d sonar range images,” IEEE Int. Conf. on Computer Vision and Pattern Recognition, pp. 580–585, San Francisco, CA, USA, June 1996.
A. Elfes, “Sonar-Based Real-World Mapping and Navigation,” IEEE Journal on Robotics and Automation, vol. 3, n. 3, pp. 249–265, 1987.
V. Murino, “Acoustic Image Reconstruction by Markov Random Fields,” Electronics Letters, vol. 32, n. 7, pp. 697–698, 1996.
V. Murino, A. Trucco, and C.S. Regazzoni, “A Probabilistic Approach to the Coupled Reconstruction and Restoration of Underwater Acoustic Images,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 20, n. 1, pp. 9–22, 1998.
V. Murino and A. Trucco, “Markov-based Methodology for the Restoration of Underwater Acoustic Images,” International Journal of Imaging Systems and Technology, vol. 8, n. 4, pp. 386–395, 1997.
V. Murino, “Reconstruction and Segmentation of Underwater Acoustic Images combining Confidence Information in MRF Models,” Pattern Recognition, vol. 34, n. 5, pp. 981–997, May 2001.
V. Murino, A. Fusiello, N. Luretigh, and E. Puppo, “3D Mosaicing for Environment Reconstruction,” 15th Int. Conf. on Pattern Recognition, Barcelona, Spain, pp. 362–366, September 2000.
P. Besl and N. McKay, “A method for registration of 3-D shapes,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 14, n. 2, pp. 239–256, February 1992.
T. Chen and G. Medioni, “Object modeling by registration of multiple range images,” Image and Vision Computing, vol. 10, n. 3, pp. 145–155, 1992.
Z. Zhang, “Iterative point matching of free-form curves and surfaces,” Int. Journal of Computer Vision, vol. 13, n. 2, pp. 119–152, 1994.
G. Blais and M.D. Levine, “Registering Multiview Range Data to Create 3D Computer Objects,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 17, n. 8, pp. 540–547, 1995.
R. Bergevin, M. Soucy, H. Gagnon, and D. Laurendeau, “Towards a general multiview registration technique,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 18, n. 5, pp. 540–547, May 1996.
A.J. Stoddart, A. Hilton, “Registration of Multiple Point Sets,” Int. Conf. on Pattern Recognition, Vienna, pp. 40–44, 1996.
K. Pulli, “Multiview Registration for Large Data Sets,” Int. Conf. on 3D Digital Imaging and Modeling, Ottawa, pp. 160–168, 1999.
A.E. Johnson, M. Hebert, “Surface Registration by Matching Oriented Points,” Int. Conf. on 3D Digital Imaging and Modeling, Ottawa, Canada, pp. 121–128, 1997.
M. Soucy and D. Laurendeau, “A General Surface Approach to the Integration of a Set of Range Views,” IEEE Trans. On Pattern Analysis and Machine Intelligence, vol. 17, n. 4, pp. 344–358, April 1995.
R.K. Hansen and P.A. Andersen, “A 3D Underwater Acoustic Camera — Properties and Applications,” in Acoustical Imaging, P. Tortoli, L. Masotti Eds., Plenum Press, pp. 607–611, New York, 1996.
E. Puppo and L. Davis, “Surface Fitting of Range Images Using a Directional Approach,” Technical Report CAR-TR-504, Center for Automation Research, Univ. of Maryland, 1990.
V. Murino, A. Grion, and S. Bianchini, “A Geometric Approach to the Segmentation and Reconstruction of Acoustic Three-Dimensional Data,” OCEANS’98 MTS/IEEE, pp. 582–586, Nice, France, September 1998.
J. Serra, Image analysis and mathematical morphology, Academic Press, London, 1982.
V. Murino and R. Giannitrapani, “Three-Dimensional Skeleton Extraction by Point Set Contraction,” IEEE Int. Conf. on Image Processing ICIP’99, pp. 565–569, Kobe, Japan, October 1999.
R. Giannitrapani, V. Murino, and A. Trucco, “Segmentation of Underwater 3D Acoustical Images for Augmented and Virtual Reality Applications,” Int. Conf. Oceans’99 MTS/IEEE, pp. 459–465, Seattle, WA (USA), September 1999.
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Trucco, A., Palmese, M., Fusiello, A., Murino, V. (2002). Three-dimensional underwater acoustical imaging and processing. In: Istepanian, R.S.H., Stojanovic, M. (eds) Underwater Acoustic Digital Signal Processing and Communication Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3617-5_8
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DOI: https://doi.org/10.1007/978-1-4757-3617-5_8
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