Hybrid genetic optimization and statistical model-based approach for the classification of shadow shapes in sonar imagery

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 22, Issue 2, 2000, Pages 129-141

  Mignotte, Max ^a   Collet, Christophe ^a   Pérez, Patrick ^a   Bouthemy, Patrick ^a  

^a Ecole Navale   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC IMAGING; GENETIC ALGORITHMS; IMAGE ANALYSIS; OPTIMIZATION; SIMULATED ANNEALING; SONAR; STATISTICAL METHODS;

DEFORMABLE TEMPLATES; GRADIENT BASED ALGORITHMS; HYBRID GENETIC OPTIMIZATION; SHAPE RECOGNITION; SONAR IMAGERY;

PATTERN RECOGNITION;

EID: 0033902447     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.825752     Document Type: Article

References (18)

1. P. Galerne, K. Yao, and G. Burel Objects Classification Using Neural Network in Sonar Imagery," Proc. European Symp. Lasers and Optics in Manufacturing, vol. 1, pp. 306-311, June 1997
2. J.C. Hyland and G.J. Dobeck Sea Mine Detection and Classification Using Side-Looking Sonar," Detection Technologies for Mines and Minelike Targets, vol. SPIE 2496, pp. 442-453, Apr. 1995.
3. F. Schmitt, M. Mignotte, C. Collet, and P. Thourel Estimation of Noise Parameters on Sonar Images," Signal and Image Processing, vol. SPIE 2823, pp. 1-12, Aug. 1996.
4. J. Besag On the Statistical Analysis of Dirty Pictures," J. Royal Statistical Soc., vol. B-48, pp. 259-302, 1986.
5. M. Mignotte, C. Collet, P. Ferez, and P. Bouthemy Unsupervised Markovian Segmentation of Sonar Images," Proc. Int'l CoJ. Acoustics, Speech, and Signal Processing, vol. 4, pp. 2,781-2,785, May 1997.
6. C. Regazzoni, F. Arduini, and G. Vernazza A Multilevel GMRFBased Approach to Image Segmentation and Restoration," Signal Processing, vol. 34, pp. 43-67, 1993.
7. U. Grenander and M. Keenan Towards Automated Image Understanding," Advances in Applied Statistics, vol. 16, pp. 89- 103, 1993.
8. K. Kluge and S. Lakshmanan Lane Boundary Detection Using Deformable Templates: Effects of Image Subsampling on Detected Lane Edges," Proc. Asian Conf. Computer Vision, pp. 141-145, Dec. 1995.
9. S. Lakshmanan and D. Grimmer A Deformable Template Approach to Detecting Straight Edges in Radar Images," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 18, no. 4, pp. 438-443, Apr. 1996.
10. A.K. Jain, Y. Zhong, and S. Lakshmanan Object Matching Using Deformable Templates," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 18, no. 3, pp. 267-278, Mar. 1996.
11. M.P. Dubuisson Jolly, S. Lakshmanan, and A.K. Jain Vehicle Segmentation and Classification Using Deformable Templates," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 18, no. 3, pp. 293-308, Mar. 1996.
12. S. Geman and D. Geman Stochastic Relaxation, Gibbs Distributions and the Bayesian Restoration of Images," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 6, no. 6, pp. 721-741, Nov. 1984.
13. C. Kervrann and F. Heitz Statistical Model-Based Segmentation of Deformable Motion," Proc. Int'l Conf. Image Processing, pp. 937- 940, 1996.
14. Y. Nakazawa, T. Komatsu, and T. Saito A Robust ObjectSpecified Active Contour Model for Tracking Smoothly Deformable Line-Features and Its Application to Outdoor Moving Image Processing," Proc. Int'l Conf. Image Processing, pp. 689-692, Sept. 1996.
15. Y. Fisher, Fractal Image Compression: Theory and Application. Springer-Verlag, 1995.
16. J.W. Goodman Some Fundamental Properties of Speckle," J. Optical Soc. Am., vol. 66, no. 11, pp. 1,145-1,150, Nov. 1976.
17. D.E Goldberg, Genetic Algorithm. Addison Wesley, 1989.
18. M. Mignotte, C. Collet, P. Ferez, and P. Bouthemy Statistical Model and Genetic Optimization: Application to Pattern Detection in Sonar Images," Proc. 23rd IEEE Int'l Conf. Acoustics, Speech, and Signal Processing-ICASSP '98, vol. 5, pp. 2,541-2,544, May 1998.