A. W. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, Content-based image retrieval at the end of the early years, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.12, pp.1349-1380, 2000.
DOI : 10.1109/34.895972

J. A. Sethian, Level set methods and fast marching methods, 1999.

N. Paragios and R. Deriche, Geodesic active regions and level set methods for supervised texture segmentation, International Journal of Computer Vision, vol.46, issue.3, pp.223-247, 2002.
DOI : 10.1023/A:1014080923068

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.2737

M. Rousson and R. Deriche, A variational framework for active and adaptive segmentation of vector valued images, IEEE Workshop on Motion and Video Computing, pp.56-61, 2002.

T. Brox, M. Rousson, R. Deriche, and J. Weickert, Unsupervised Segmentation Incorporating Colour, Texture, and Motion, 2003.
DOI : 10.1007/978-3-540-45179-2_44

URL : https://hal.archives-ouvertes.fr/inria-00071826

A. Mansouri, A. Mitiche, and C. Vazquez, Image partitioning by level set multiregion competition, IEEE International Conference on Image Processing, pp.2721-2724, 2004.

J. Malik, S. Belongie, T. Leung, and J. Shi, Contour and Texture Analysis for Image Segmentation, International Journal of Computer Vision, vol.43, issue.1, pp.7-27, 2001.
DOI : 10.1007/978-1-4615-4413-5_9

Y. Deng and B. S. Manjunath, Unsupervised segmentation of color-texture regions in images and video, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.8, pp.800-810, 2001.
DOI : 10.1109/34.946985

W. Ma and B. Manjunath, EdgeFlow: a technique for boundary detection and image segmentation, IEEE Transactions on Image Processing, vol.9, issue.8, pp.1375-88, 2000.

B. Sumengen, B. S. Manjunath, and C. Kenney, Image segmentation using curve evolution and flow fields, Proceedings. International Conference on Image Processing, pp.105-108, 2002.
DOI : 10.1109/ICIP.2002.1037970

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.2301

J. F. Aujol and T. F. Chan, Combining geometrical and textured information to perform image classification, 3nd IEEE Workshop on Variational, Geometric and Level Set Methods in Computer Vision, pp.161-172, 2005.
DOI : 10.1016/j.jvcir.2006.02.001

URL : https://hal.archives-ouvertes.fr/hal-00201972

C. Sagiv, N. A. Sochen, and Y. Y. Zeevi, Texture segmentation via a diffusion segmentation scheme in the gabor feature space, 2nd International Workshop on Texture Analysis and Synthesis, 2002.

B. Sandberg, T. Chan, and L. Vese, A level-set and gabor-based active contour algorithm for segmenting textured images, 2002.

T. Brox and J. Weickert, A TV Flow Based Local Scale Measure for Texture Discrimination, 8th European Conference on Computer Vision, pp.578-590, 2004.
DOI : 10.1007/978-3-540-24671-8_46

T. Brox and J. Weickert, Level Set Based Image Segmentation with Multiple Regions, Pattern Recognition, vol.3175, pp.415-423, 2004.
DOI : 10.1007/978-3-540-28649-3_51

J. Weickert, B. M. Romeny, and M. A. Viergever, Efficient and reliable schemes for nonlinear diffusion filtering, IEEE Transactions on Image Processing, vol.7, issue.3, pp.398-410, 1998.
DOI : 10.1109/83.661190

R. A. Fisher, THE STATISTICAL UTILIZATION OF MULTIPLE MEASUREMENTS, Annals of Eugenics, vol.8, issue.4, pp.376-386, 1938.
DOI : 10.1111/j.1469-1809.1938.tb02189.x

C. R. Rao, The utilization of multiple measurements in problems of biological classification, Journal of the Royal Statistical Society, vol.10, issue.B, pp.159-203, 1948.

M. Loog, R. P. Duin, and R. Haeb-umbach, Multiclass linear dimension reduction by weighted pairwise Fisher criteria, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.7, pp.762-766, 2001.
DOI : 10.1109/34.935849

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.4616

S. Mika, G. Rätsch, J. Weston, B. Schölkopf, and K. Müller, Constructing descriptive and discriminative nonlinear features: rayleigh coefficients in kernel feature spaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.5, pp.623-628, 2003.
DOI : 10.1109/TPAMI.2003.1195996

J. Yang, A. F. Frangi, J. Y. Yang, D. Zhang, and Z. Jin, KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.2, pp.230-244, 2005.
DOI : 10.1109/TPAMI.2005.33

C. Samson, L. Blanc-féraud, G. Aubert, and J. Zerubia, A Level Set Model for Image Classification, International Journal of Computer Vision, vol.40, issue.3, pp.187-197, 2000.
DOI : 10.1007/3-540-48236-9_27

G. Aubert, M. Barlaud, O. Faugeras, and S. Jehan-besson, Image Segmentation Using Active Contours: Calculus of Variations or Shape Gradients?, SIAM Journal on Applied Mathematics, vol.63, issue.6, pp.2128-2154, 2003.
DOI : 10.1137/S0036139902408928

URL : https://hal.archives-ouvertes.fr/inria-00072105

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