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Analysis of buried objects in 3D underwater acoustic images by a volumetric segmentation algorithm

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2 Author(s)
Palmese, M. ; Dept. of Biophys. & Electron. Eng., Genoa Univ., Genova, Italy ; Trucco, A.

To extract useful information about the buried objects contained in acoustic sub-bottom images a segmentation algorithm is mandatory. The literature on the segmentation of 3D acoustic underwater images is very limited, and, more in general, this task is still considered a challenging problem in computer vision. The volumetric segmentation method presented in this paper follows a volume growing approach, essentially a 3D extension to the traditional 2D region growing one. The volume growing operation is guided by a statistical approach based on optimal decision theory. Some pre-processing activities, e.g., filtering and enhancement, mainly aimed at preparing data to obtain good segmentation results, have also been developed.

Published in:

OCEANS, 2005. Proceedings of MTS/IEEE

Date of Conference:

2005