G. Algarni and M. Hamiane, A novel technique for automatic shoeprint image retrieval, Forensic Science International, vol.181, issue.1-3, 2008.
DOI : 10.1016/j.forsciint.2008.07.004

S. Antani, D. J. Lee, L. R. Long, and G. R. Thoma, Evaluation of shape similarity measurement methods for spine X-ray images, Journal of Visual Communication and Image Representation, vol.15, issue.3, pp.285-302, 2004.
DOI : 10.1016/j.jvcir.2004.04.005

S. Antani, L. R. Long, and G. R. Thoma, A biomedical information system for combined content-based retrieval of spine x-ray images and associated text information, Proceedings of the Indian Conference on Computer Vision, Graphics, and Image Processing, pp.242-247, 2002.

E. Balmashnova, B. Platel, L. M. Florack, and B. M. Ter-haar-romeny, Content-based image retrieval by means of scale-space top-points and differential invariants, MICCAI 2007 Workshop on Content-based Image Retrieval for Biomedical Image Archives: Achievements, Problems, and Prospects, pp.83-92, 2007.

M. Banerjee and M. K. Kundu, Edge based features for content based image retrieval, Pattern Recognition, vol.36, issue.11, pp.2649-2661, 2003.
DOI : 10.1016/S0031-3203(03)00174-2

A. Bishnu, B. B. Bhattacharya, M. K. Kundu, C. A. Murthy, and T. Acharya, Euler Vector for Search and Retrieval of Gray-Tone Images, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.35, issue.4, pp.801-812, 2005.
DOI : 10.1109/TSMCB.2005.846642

Y. D. Chun, S. Y. Seo, and N. C. Kim, Image retrieval using bdip and bvlc moments, IEEE Transactions on Circuits and Systems for Video Technology, vol.13, issue.9, pp.951-957, 2003.
DOI : 10.1109/TCSVT.2003.816507

R. Claypoole, R. Baraniuk, and R. Nowak, Adaptive wavelet transforms via lifting, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), pp.1513-1516, 1998.
DOI : 10.1109/ICASSP.1998.681737

A. Cohen, I. Daubechies, and J. Feauveau, Biorthogonal bases of compactly supported wavelets, Communications on Pure and Applied Mathematics, vol.10, issue.5, pp.485-560, 1992.
DOI : 10.1002/cpa.3160450502

R. R. Coifman and Y. Meyer, Remarques sur l'analyse de FourieràFourier`Fourierà fenêtre (French. English summary) [Remarks on windowed Fourier analysis, Comptes Rendus de l'Académie des Sciences 312, pp.259-261, 1991.

S. Dai and Y. Zhang, Unbalanced region matching based on two-level description for image retrieval, Pattern Recognition Letters, vol.26, issue.5, pp.565-580, 2005.
DOI : 10.1016/j.patrec.2004.08.022

I. Daubechies, Orthonormal bases of compactly supported wavelets, Comm. Pure Appl. Math, p.41, 1988.

R. J. De-sobral-cintra, I. V. Tchervensky, V. S. Dimitrov, and M. P. Mintchev, Optimal wavelets for electrogastrography, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.329-332, 2004.
DOI : 10.1109/IEMBS.2004.1403159

M. N. Do and M. Vetterli, Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance, IEEE Transactions on Image Processing, vol.11, issue.2, pp.146-158, 2002.
DOI : 10.1109/83.982822

S. Doyle, M. Hwang, S. Naik, M. Feldman, J. Tomaszeweski et al., Using manifold learning for content-based image retrieval of prostate histopathology, MICCAI 2007 Workshop on Content-based Image Retrieval for Biomedical Image Archives: Achievements, Problems, and Prospects, pp.53-62, 2007.

J. G. Dy, C. E. Brodley, A. Kak, L. S. Broderick, and A. M. Aisen, Unsupervised feature selection applied to content-based retrieval of lung images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.3, pp.373-378, 2003.
DOI : 10.1109/TPAMI.2003.1182100

I. El-naqa, Y. Yang, N. P. Galatsanos, R. M. Nishikawa, and M. N. Wernick, A Similarity Learning Approach to Content-Based Image Retrieval: Application to Digital Mammography, IEEE Transactions on Medical Imaging, vol.23, issue.10, pp.1233-1244, 2004.
DOI : 10.1109/TMI.2004.834601

D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, 1989.

H. Greenspan and A. T. Pinhas, Medical Image Categorization and Retrieval for PACS Using the GMM-KL Framework, IEEE Transactions on Information Technology in Biomedicine, vol.11, issue.2, pp.190-202, 2007.
DOI : 10.1109/TITB.2006.874191

A. Gupta, S. D. Joshi, and S. Prasad, A new method of estimating wavelet with desired features from a given signal, Signal Processing, vol.85, issue.1, pp.147-161, 2005.
DOI : 10.1016/j.sigpro.2004.09.008

A. Hafiane, S. Chaudhuri, G. Seetharaman, and B. Zavidovique, Region-based CBIR in GIS with local space filling curves to spatial representation, Pattern Recognition Letters, vol.27, issue.4, pp.259-267, 2006.
DOI : 10.1016/j.patrec.2005.08.007

J. W. Han and L. Guo, A shape-based image retrieval method using salient edges, Signal Processing, pp.141-156, 2003.
DOI : 10.1016/S0923-5965(02)00116-9

M. Heath, K. W. Bowyer, D. Kopans, W. P. Kegelmeyer, R. Moore et al., Current status of the digital database for screening mammography. Digital Mammography, pp.457-460, 1998.

W. Horsthemke, D. Raicu, and J. Furst, Task-oriented medical image retrieval, MICCAI 2007 Workshop on Content-based Image Retrieval for Biomedical Image Archives: Achievements, Problems, and Prospects, pp.31-44, 2007.

D. D. Iakovidis, N. N. Pelekis, E. E. Kotsifakos, I. I. Kopanakis, H. H. Karanikas et al., A Pattern Similarity Scheme for Medical Image Retrieval, IEEE Transactions on Information Technology in BiomedicineIn press, 2008.
DOI : 10.1109/TITB.2008.923144

S. M. Kay, Coding of still pictures -JPEG 2000 part2 ISO/IEC 15444-2. URL http Fundamentals of statistical signal processing: estimation theory, JPEG, 1993.

V. Khanh, K. A. Hua, and W. Tavanapong, Image retrieval based on regions of interest, IEEE Transactions on Knowledge and Data Engineering, vol.15, issue.4, pp.1045-1049, 2003.
DOI : 10.1109/TKDE.2003.1209021

A. Khotanzad and Y. H. Hong, Invariant image recognition by Zernike moments, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.5, pp.489-497, 1990.
DOI : 10.1109/34.55109

J. Kim, W. Cai, D. Feng, and H. Wu, A New Way for Multidimensional Medical Data Management: Volume of Interest (VOI)-Based Retrieval of Medical Images With Visual and Functional Features, IEEE Transactions on Information Technology in Biomedicine, vol.10, issue.3, pp.598-607, 2006.
DOI : 10.1109/TITB.2006.872045

M. Kokare, P. K. Biswas, and B. N. Chatterji, Rotation-Invariant Texture Image Retrieval Using Rotated Complex Wavelet Filters, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.36, issue.6, pp.1273-1282, 2006.
DOI : 10.1109/TSMCB.2006.874692

K. Konstantinidis, A. Gasteratos, and I. Andreadis, Image retrieval based on fuzzy color histogram processing, Optics Communications, vol.248, issue.4-6, pp.4-6, 2005.
DOI : 10.1016/j.optcom.2004.12.029

C. Le-bozec, E. Zapletal, M. C. Jaulent, D. Heudes, and P. Degoulet, Towards content-based image retrieval in a HIS-integrated PACS, Proceedings of the Annual Symposium of the American Society for Medical Informatics (AMIA), pp.477-481, 2000.

D. Le-gall and A. Tabatabai, Subband coding of digital images using symmetric short kernel filters and arithmetic coding techniques, Proc. of the International Conference on Acoustics Speech and Signal Processing, pp.761-765, 1988.

T. R. Lo, J. P. Siebert, and A. F. Ayoub, An implementation of the scale invariant feature transform in the 2.5d domain, MICCAI 2007 Workshop on Content-based Image Retrieval for Biomedical Image Archives: Achievements, Problems, and Prospects, pp.73-82, 2007.

A. Maitrot, M. Lucas, and C. Doncarli, Design of Wavelets Adapted to Signals and Application, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., pp.617-620, 2005.
DOI : 10.1109/ICASSP.2005.1416084

S. Mallat, A Wavelet Tour of Signal Processing, 1999.

D. Mladeni´cmladeni´c, J. Brank, M. Grobelnik, and N. Milic-frayling, Feature selection using linear classifier weights: interaction with classification models, SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, pp.234-241, 2004.

H. Müller, N. Michoux, D. Bandon, and A. Geissbuhler, A review of content-based image retrieval systems in medical applications???clinical benefits and future directions, International Journal of Medical Informatics, vol.73, issue.1, pp.1-23, 2004.
DOI : 10.1016/j.ijmedinf.2003.11.024

H. Müller, W. Müller, D. M. Squire, S. Marchand-maillet, and T. Pun, Performance evaluation in content-based image retrieval: overview and proposals, Pattern Recognition Letters, vol.22, issue.5, pp.593-601, 2001.
DOI : 10.1016/S0167-8655(00)00118-5

K. Muneeswaran, L. Ganesan, S. Arumugam, and K. R. Soundar, Texture image segmentation using combined features from spatial and spectral distribution, Pattern Recognition Letters, vol.27, issue.7, pp.755-764, 2006.
DOI : 10.1016/j.patrec.2005.11.002

C. Nastar, Indexation d'images par le contenu: un etat de l'art, CORESA'97, 1997.

M. C. Oliveira, W. Cirne, and P. M. De-azevedo-marques, Towards applying content-based image retrieval in the clinical routine, Future Generation Computer Systems, vol.23, issue.3, pp.466-474, 2007.
DOI : 10.1016/j.future.2006.06.009

H. Pourghassem and H. Ghassemian, Content-based medical image classification using a new hierarchical merging scheme, Computerized Medical Imaging and Graphics, vol.32, issue.8, pp.651-661, 2008.
DOI : 10.1016/j.compmedimag.2008.07.006

W. Press, S. Teukolsky, W. Vetterling, B. W. Flannery, S. Teukolsky et al., Numerical Recipes in C: The Art of Scientific Computing Numerical Recipes in C : The Art of Scientific Computing Numerical Recipes in C: The Art of Scientific Computing, Ingénierie et Recherche BioMédicale (IRBM), vol.29, issue.1, pp.35-43, 1992.

M. M. Rahman, P. Bhattacharya, and B. C. Desai, A Framework for Medical Image Retrieval Using Machine Learning and Statistical Similarity Matching Techniques With Relevance Feedback, IEEE Transactions on Information Technology in Biomedicine, vol.11, issue.1, pp.58-69, 2007.
DOI : 10.1109/TITB.2006.884364

R. Rahmani, S. A. Goldman, H. Zhang, S. R. Cholleti, and J. E. Fritts, Localized Content-Based Image Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.11, pp.1902-1912, 2008.
DOI : 10.1109/TPAMI.2008.112

V. R. Rallabandi and V. P. Rallabandi, Rotation-invariant texture retrieval using wavelet-based hidden Markov trees, Signal Processing, vol.88, issue.10, pp.2593-2598, 2008.
DOI : 10.1016/j.sigpro.2008.04.019

C. S. Sastry, A. K. Pujari, B. L. Deekshatulu, and C. Bhagvati, A wavelet based multiresolution algorithm for rotation invariant feature extraction, Pattern Recognition Letters, vol.25, issue.16, pp.1845-1855, 2004.
DOI : 10.1016/j.patrec.2004.07.011

H. Shao, W. Cui, and H. Zhao, Medical image retrieval based on visual contents and text information, IEEE International Conference on Systems, pp.1098-1103, 2004.

M. Siadat, H. Soltanian-zadeh, F. Fotouhi, and K. Elisevich, Content-based image database system for epilepsy, Computer Methods and Programs in Biomedicine, vol.79, issue.3, pp.209-226, 2005.
DOI : 10.1016/j.cmpb.2005.03.012

W. Sweldens, The Lifting Scheme: A Custom-Design Construction of Biorthogonal Wavelets, Applied and Computational Harmonic Analysis, vol.3, issue.2, pp.186-200, 1996.
DOI : 10.1006/acha.1996.0015

D. Tao, X. Tang, and X. Li, Which components are important for interactive image searching?, IEEE Transactions on Circuits and Systems for Video Technology, vol.18, issue.1, pp.3-11, 2008.

D. Taubman and M. Marcellin, JPEG2000: Image Compression Fundamentals , Standards and Practice (The International Series in Engineering and Computer Science), 2001.

A. H. Tewfik, D. Sinha, and P. Jorgensen, On the optimal choice of a wavelet for signal representation, IEEE Transactions on Information Theory, vol.38, issue.2, pp.747-765, 1992.
DOI : 10.1109/18.119734

M. K. Varanasi and B. Aazhang, Parametric generalized Gaussian density estimation, The Journal of the Acoustical Society of America, vol.86, issue.4, pp.1404-1415, 1989.
DOI : 10.1121/1.398700

J. O. Varela, Indexation et recherche d'images par le contenu, utilisant des informations de compression d'images : application aux images médicales, 2004.

C. Wilkinson, F. Ferris, R. E. Klein, P. P. Lee, C. D. Agardh et al., Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales, Ophthalmology, vol.110, issue.9, pp.1677-1682, 2003.
DOI : 10.1016/S0161-6420(03)00475-5

G. V. Wouwer, P. Scheunders, and D. V. Dyck, Statistical texture characterization from discrete wavelet representations, IEEE Transactions on Image Processing, vol.8, issue.4, pp.592-598, 1999.
DOI : 10.1109/83.753747

Z. Xie, A rotation-and flip-invariant algorithm for representing spatial continuity information of geographic images in contentbased image retrieval, Computers and Geosciences, vol.30, pp.9-10, 2004.

Z. Xiong and T. S. Huang, Wavelet-based texture features can be extracted efficiently from compressed-domain for JPEG2000 coded images, Proceedings of the 2002 International Conference on Image Processing, pp.481-484, 2002.

P. T. Yap and R. Paramesran, Content-based image retrieval using Legendre chromaticity distribution moments, IEE Proceedings - Vision, Image and Signal Processing, pp.17-24, 2006.
DOI : 10.1049/ip-vis:20045064

S. Yu, C. Chiang, and C. Hsieh, A three-object model for the similarity searches of chest CT images, Computerized Medical Imaging and Graphics, vol.29, issue.8, pp.617-630, 2005.
DOI : 10.1016/j.compmedimag.2005.06.001

D. Zhang and G. Lu, Study and evaluation of different Fourier methods for image retrieval, Image and Vision Computing, vol.23, issue.1, pp.33-49, 2005.
DOI : 10.1016/j.imavis.2004.09.001