Sidescan sonar segmentation using active contours and level set methods

Oceans 2005 - Europe

Volumn 1, Issue , 2005, Pages 719-724

  Lianantonakis, Maria ^a   Petillot, Yvan R ^a  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; COMPUTER SIMULATION; CONTOUR MEASUREMENT; FEATURE EXTRACTION; IMAGE SEGMENTATION; MATHEMATICAL MODELS; OPTICAL RESOLVING POWER; SONAR;

CONTOUR INITIALISATION; HARALICK FEATURE SET; SONAR IMAGES; SONAR SEGMENTATION;

ACOUSTIC IMAGING;

EID: 33746664262     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/OCEANSE.2005.1511803     Document Type: Conference Paper

References (17)

1. D. R. Carmichael and et al. Seabed classification through multifractal analysis. IEE Proc. Radar, Sonar Navig., 143(3):140-148, 1996.
2. V. Caselles, R. Kimmel, and G. Sapiro. Geodesic active contours. Int. J. Comput. Vis, 22(1):61-79, 1997.
3. T. Chan, B. Sanberg, and L.Vese. Active contours without edges for vector-valued images. J. Visual Comm. Image Rep, 11:130-141, 2000.
4. T. Chan and L. Vese. Active contours without edges, IEEE Transactions on Image processing, 10(2):266-277, 2001.
5. T. Chan and L. Vese. A level set algorithm for minimising the mumfordshah functional in image processing. In Comput. Soc. Proc. of the 1st IEEE Workshop on Variational and Level Set Methods in Computer Vision, pages 161-168, 2001.
6. R. M. Haralick and et al. Textural features for Image classification. IEEE Trans. Syst, Man, Cybern., pages 610-621, 1973.
7. S. Jehan-Besson, M. Barlaud, and G. Aubert. Defomable regions driven by an eulerian accurate minimisation method for image and video segmentation. Int. J. Comp. Vis., 53(1):45-70, 2003.
8. R. Malladi, J.A. Sethian, and B. C. Vemuri. Shape modeling with front propagation: A level set approach. IEEE Trans. pattern Anal. machine Intell., 17:158-175, 1995.
9. M. Mignotte, C. Collet, P. Perez, and P. Bouthemy. Sonar image segmentation using an unsupervised hierarchical mrf model. IEEE Trans. Image Processing, 9(7):1216-1231, 2000.
10. S. Osher and R. Fedkiw. Level Set Methods and Dynamic Implicit Surfaces. Springer, 2003.
11. S. Osher and N. Paragios, Geometric Level Set Methods in Imaging, Vision and Graphics, Springer, 2003.
12. S. Osher and J. Sethian, Fronts propagating with curvature-dependent speed:algorithms based on hamilton-jacobi formulation. J.Comput.Phys., 79:12-49, 1988.
13. S. Reed, Y. Petillot, and I. Bell. An automatic approach to the detection and extraction of mine features in sidescan sonar. IEEE J. Ocean Eng., 28(1):90-105, 2003.
14. G. Sapiro. Geometric Partial Differential Equations and Image Analysis. Cambridge University Press, 2001.
15. J.A. Sethian. Level Set Methods and Fast Marching Methods. Cambridge University Press, 1999.
16. M. Unser. Sum and difference histograms for texture classification. IEEE Trans. Pattern Anal. Mach. Intell., 11(7):717-727, 1989.
17. B. Zerr, E. Maillard, and D. Gueriot, Sea-floor classification by neural hybrid system, IEEE Proc. OCEANS '94, pages 239-243, 1994.