Translator Disclaimer
4 April 1997 Sonar picture segmentation using Markovian multigrid or multiresolution algorithms
Author Affiliations +
Proceedings Volume 3026, Nonlinear Image Processing VIII; (1997)
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
We propose two new approaches which consider the specific sonar image segmentation problem in a statistical regularization framework, based on hierarchical Markov Random Field (MRF) modeling. Within this framework , data- driven parameters estimation is performed using a mixture distributions and the contextual parameters are estimated by using the 'qualitative box' method. Then we develop two unsupervised segmentations algorithms. The first one, based on a multigrid approach, required pyramidal structure of the label field, associated to a single observation level: the MRF energy function is re-written at each scale as a coarser MRF model. The second algorithm we proposed is based on a multiresolution approach: an observation pyramid is obtained by image projection on biorthogonal wavelets. The signal to noise ratio is thus increased and allows to given a good initialization for the regularization algorithm at each level. We also compare the robustness of these unsupervised multigrid and multiresolution approaches. Some convincing results are presented and validate these new approaches for synthetic and real sonar picture segmentation.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christophe Collet, Pierre Thourel, Patrick Perez, and Patrick Bouthemy "Sonar picture segmentation using Markovian multigrid or multiresolution algorithms", Proc. SPIE 3026, Nonlinear Image Processing VIII, (4 April 1997);


Doubly stochastic MRF-based segmentation of SAR images
Proceedings of SPIE (September 12 2003)
Unsupervised segmentation of images
Proceedings of SPIE (September 22 1998)
Spatial and frequency decomposition for image compression
Proceedings of SPIE (April 27 1995)
MUM (Merge Using Moments) segmentation for SAR images
Proceedings of SPIE (December 21 1994)

Back to Top