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Proceedings Paper

Estimation of noise parameters on sonar images
Author(s): Francoise Schmitt; Max Mignotte; Christophe Collet; Pierre Thourel
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Paper Abstract

We use the Markov random field model in order to segment sonar images, i.e. to localize the sea bottom areas and the projected shadow areas corresponding to objects lying on sea floor. This model requires on one hand knowledge about the statistical distributions relative to the different zones and ont the other hand the estimation of the law parameters. The Kolmogorov criterion or the (chi) 2 criterion allow to estimate the distribution laws. The estimation maximization algorithm or the stochastic estimation maximization algorithm are used to determine the maximum likelihood estimate of the law parameters. Those algorithms are initialized with the Kmean algorithm. Results are showing on real sonar pictures.

Paper Details

Date Published: 8 October 1996
PDF: 11 pages
Proc. SPIE 2823, Statistical and Stochastic Methods for Image Processing, (8 October 1996); doi: 10.1117/12.253436
Show Author Affiliations
Francoise Schmitt, Ecole Navale (France)
Max Mignotte, Ecole Navale (France)
Christophe Collet, Ecole Navale (France)
Pierre Thourel, Ecole Navale (France)

Published in SPIE Proceedings Vol. 2823:
Statistical and Stochastic Methods for Image Processing
Edward R. Dougherty; Francoise J. Preteux; Jennifer L. Davidson, Editor(s)

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