Title :
Characterizing the Objects Embedded in the Sea-Bottom by Processing 3-D Acoustic Images
Author :
Palmese, Maria ; Trucco, Andrea
Author_Institution :
Dept. of Biophys. & Electron. Eng. (DIBE), Genova Univ.
Abstract :
Investigation of man-made objects relying on the seafloor or embedded into the bottom can be carried out by acoustic imaging techniques and subsequent data processing. In this paper, a processing chain that, starting from a 3D acoustic image of the object to be examined and requiring a minimal interaction with the user, results in an augmented reality model is described. Essentially, the chain includes blocks devoted to noise reduction, statistical 3D segmentation, semi-automatic surface fitting, extraction of measurements, and virtual reality modeling
Keywords :
acoustic imaging; augmented reality; image segmentation; seafloor phenomena; statistical analysis; surface fitting; underwater sound; 3D acoustic image processing; augmented reality model; noise reduction; semi-automatic surface fitting; statistical 3D segmentation; virtual reality model; Acoustic imaging; Acoustic measurements; Augmented reality; Data processing; Image segmentation; Noise measurement; Noise reduction; Sea floor; Sea surface; Surface fitting; 3-D acoustical imaging; augmented reality modelling; buried objects investigation; image processing and analysis; segmentation; surface fitting;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2006.328362
