Y. J. Zhang, A survey on evaluation methods for image segmentation, Pattern Recognition, vol.29, issue.8, pp.1335-1346, 1996.
DOI : 10.1016/0031-3203(95)00169-7

A. Martin, Comparative study of information fusion methods for sonar images classification , The Eighth International Conference on Information Fusion, pp.25-29, 2005.

J. C. Russ, The Image Processing Handbook, 2002.

H. Laanaya, A. Martin, D. Aboutajdine, and A. Khenchaf, A new dimensionality reduction method for seabed characterization: supervised Curvilinear Component Analysis, Europe Oceans 2005, pp.20-23
DOI : 10.1109/OCEANSE.2005.1511737
URL : https://hal.archives-ouvertes.fr/hal-00518735

A. David and B. Lerner, Support vector machine-based image classification for genetic syndrome diagnosis, Pattern Recognition Letters, vol.26, issue.8, pp.1029-1038, 2005.
DOI : 10.1016/j.patrec.2004.09.048

M. Mavroforakis, H. Georgiou, N. Dimitropoulos, D. Cavouras, and S. Theodoridis, Significance analysis of qualitative mammographic features, using linear classifiers, neural networks and support vector machines, European Journal of Radiology, vol.54, issue.1, pp.80-89, 2005.
DOI : 10.1016/j.ejrad.2004.12.015

S. B. Park, J. W. Lee, and S. K. Kim, Content-based image classification using a neural network, Pattern Recognition Letters, vol.25, issue.3, pp.287-300, 2004.
DOI : 10.1016/j.patrec.2003.10.015

Y. V. Venkatesh and S. Kumar-raja, On the classification of multispectral satellite images using the multilayer perceptron, Pattern Recognition, vol.36, issue.9, pp.2161-2175, 2003.
DOI : 10.1016/S0031-3203(03)00013-X

I. Leblond, M. Legris, and B. Solaiman, Use of classification and segmentation of sidescan sonar images for long term registration, Europe Oceans 2005, pp.20-23
DOI : 10.1109/OCEANSE.2005.1511734
URL : https://hal.archives-ouvertes.fr/hal-00518736

N. J. Pizzi, Fuzzy pre-processing of gold standards as applied to biomedical spectra classification, Artificial Intelligence in Medicine, vol.16, issue.2, pp.171-182, 1999.
DOI : 10.1016/S0933-3657(98)00071-2

T. Denoeux, A neural network classifier based on Dempster-Shafer theory, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol.30, issue.2, pp.131-150, 2000.
DOI : 10.1109/3468.833094

P. Vannoorenberghe and P. , Smets, Partially supervised learning by a credal EM approach, 2005.

O. Alata and C. Ramananjarasoa, Unsupervised textured image segmentation using 2-D quarter plane autoregressive model with four prediction supports, Pattern Recognition Letters, vol.26, issue.8, pp.1069-1081, 2005.
DOI : 10.1016/j.patrec.2004.10.002

J. F. Canny, A computational approach to edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.8, 1986.

P. Kovesi, Image Features From Phase Congruency Videre: A Journal of Computer Vision Research, 1999.

J. B. Mena and J. A. Malpica, Color image segmentation based on three levels of texture statistical evaluation, Applied Mathematics and Computation, vol.161, issue.1, pp.1-17, 2005.
DOI : 10.1016/j.amc.2003.11.033

A. Bhalerao and R. Wilson, Unsupervised image segmentation combining region and boundary estimation, Image and Vision Computing, vol.19, issue.6, pp.353-368, 2001.
DOI : 10.1016/S0262-8856(00)00084-6
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.410

H. Zang, J. E. Fritts, and S. A. Goldman, A Co-evaluation Framework for Improving Segmentation Evaluation, SPIE Defense and Security Symposium -Signal Processing Sensor Fusion, and Target Recognition XIV, pp.420-430, 2005.

Y. J. Zhang, Evaluation and comparison of different segmentation algorithms, Pattern Recognition Letters, vol.18, issue.10, pp.963-974, 1997.
DOI : 10.1016/S0167-8655(97)00083-4

Y. Yitzhaky and E. Peli, A method for objective edge detection evaluation and detector parameter selection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.8, pp.1027-1033, 2003.
DOI : 10.1109/TPAMI.2003.1217608

J. Atae-allah, P. L. Martínezmartínez-aroza, and . Luque-escamilla, A measure of quality for evaluating methods of segmentation and edge detection, Pattern Recognition, vol.34, issue.5, pp.969-980, 2001.

M. Bouet, C. Djeraba, A. Khenchaf, and H. Briand, Shape Processing and Image Retrieval , Revue de l'Objet, special edition, pp.145-170, 2000.

T. Peli and D. Malah, A study of edge detection algorithms, Computer Graphics and Image Processing, vol.20, issue.1, pp.1-21, 1982.
DOI : 10.1016/0146-664X(82)90070-3

T. Kanoungo, M. Y. Jaisimha, J. Palmer, and R. M. Haralick, A methodology for quantitative performance evaluation of detection algorithms, IEEE Transactions on Image Processing, vol.4, issue.12
DOI : 10.1109/83.475516