H. Peckinpaugh, An improved method for computing gray-level cooccurrence matrix based texture measures, CVGIP, Graphical Models and Image Processing, pp.574-580, 1991.
DOI : 10.1016/1049-9652(91)90007-7

V. Dasarathy and B. Holder, Image characterizations based on joint gray level???run length distributions, Pattern Recognition Letters, vol.12, issue.8, pp.497-502, 1991.
DOI : 10.1016/0167-8655(91)80014-2

B. B. Mandelbort, The fractal geometry of natural, 1984.

J. Serra, Introduction to mathematical morphology Computer Vision, Graphics and Image Processing, TABLE II FAD, SENSITIVITY AND ACCURACY TEXTURE SEGMENTATION RESULTS FAD (%) Sensitivity (%) Accuracy (%), pp.283-305, 1986.

S. G. Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.7, pp.674-693, 1989.
DOI : 10.1109/34.192463

M. K. Hu, Visual pattern recognize by moment invariants, IRE Trans on Information Theory, vol.8, issue.1, pp.179-187, 1962.

M. Tuceryan, Moment-based texture segmentation, Pattern Recognition Letters, vol.15, issue.7, pp.659-668, 1994.
DOI : 10.1016/0167-8655(94)90069-8

J. Bigun, N-folded symmetries by complex moments in Gabor space and their application to unsupervised texture segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.1, pp.80-87, 1994.
DOI : 10.1109/34.273714

M. R. Teague, Image analysis via the general theory of moments*, Journal of the Optical Society of America, vol.70, issue.8, pp.920-930, 1980.
DOI : 10.1364/JOSA.70.000920

R. Mukundan, S. H. Ong, and P. A. Lee, Image analysis by Tchebichef moments, IEEE Transactions on Image Processing, vol.10, issue.9, pp.1357-1364, 2001.
DOI : 10.1109/83.941859

P. T. Yap, P. Raveendran, and S. H. Ong, Image analysis by Krawtchouk moments, IEEE Transactions on Image Processing, vol.12, issue.11, pp.1367-1377, 2003.

R. G. Steve, Support Vector Machines for Classification and Regression, 1998.

D. Duda, M. Kretowski, and J. Bezy-wendling, Texture-Based Classification of Hepatic Primary Tumors in Multiphase CT, Medical Image Computing and Computer-assisted Intervention Proceedings, Part 2, 2004.
DOI : 10.1007/978-3-540-30136-3_133

D. Duda, M. Kretowski, and J. Bezy-wendling, Texture Characterization for Hepatic Tumor Recognition in Multiphase CT, Biocybernetics and Biomedical Engineering, vol.26, issue.4, pp.15-24, 2006.

B. Sandberg, T. Chan, and L. Vese, A Level-Set and Gabor-based Active Contour Algorithm for Segmenting Textured Images, UCLA Department of Mathematics CAM report, 2002.

T. F. Chan and L. A. Vese, Active contours without edges, IEEE Transactions on Image Processing, vol.10, issue.2, pp.266-277, 2001.
DOI : 10.1109/83.902291

D. Mahmoud-ghoneim, M. K. Alkaabi, J. D. De-certaines, and F. M. Goettsche, The impact of image dynamic range on texture classification of brain white matter, BMC Medical Imaging, vol.18, issue.8, 2008.
DOI : 10.1109/34.531802