X. Xie and M. Mirmehdi, A galaxy of texture features Handbook of texture analysis, pp.375-406, 2008.

R. M. Haralick, K. Shanmugan, and I. Dinstein, Textural Features for Image Classification, IEEE Transactions on Systems, Man, and Cybernetics, vol.3, issue.6, pp.610-621, 1973.
DOI : 10.1109/TSMC.1973.4309314
URL : http://www.cis.rit.edu/~cnspci/references/dip/segmentation/haralick1973.pdf

C. Palm, Color texture classification by integrative Co-occurrence matrices, Pattern Recognition, vol.37, issue.5, pp.965-976, 2004.
DOI : 10.1016/j.patcog.2003.09.010

I. M. Elfadel and R. W. Picard, Gibbs random fields, cooccurrences, and texture modeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.1, pp.24-37, 1994.
DOI : 10.1109/34.273719
URL : http://www-white.media.mit.edu/vismod/publications/techdir/TR-204.ps.Z

X. Qin and Y. Yang, Basic gray level aura matrices: theory and its application to texture synthesis, Procs. 10th International Conference on Computer Vision (ICCV'05), pp.128-135, 2005.

X. Qin and Y. Yang, Aura 3D Textures, IEEE Transactions on Visualization and Computer Graphics, vol.13, issue.2, pp.379-389, 2007.
DOI : 10.1109/TVCG.2007.31

X. Qin and Y. Yang, Similarity measure and learning with gray level aura matrices (GLAM) for texture image retrieval, Procs. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, pp.326-333, 2004.

S. Wiesmüller and D. A. Chandy, Content based mammogram retrieval using gray level aura matrix, International Journal of Computer Communication and Information System, vol.2, issue.1, pp.217-223, 2010.

S. Liao and A. C. Chung, Texture Classification by using Advanced Local Binary Patterns and Spatial Distribution of Dominant Patterns, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, pp.1221-1224, 2007.
DOI : 10.1109/ICASSP.2007.366134

Y. Wang, X. Gao, R. Fu, and Y. Jian, Dayside corona aurora classification based on X-gray level aura matrices, Proceedings of the ACM International Conference on Image and Video Retrieval, CIVR '10, pp.282-287, 2010.
DOI : 10.1145/1816041.1816083

M. A. Hannan, M. Arebey, R. A. Begum, and H. Basri, Gray level aura matrix: An image processing approach for waste bin level detection, Procs. World Congress on Sustainable Technologies, pp.77-82, 2011.

M. Khalid, R. Yusof, and A. S. Khairuddin, Improved tropical wood species recognition system based on multi-feature extractor and classifier, World Academy of Science, Engineering and Technology, vol.59, pp.1702-1708, 2011.

M. A. Hannan, M. Arebey, R. A. Begum, and H. Basri, An automated solid waste bin level detection system using a gray level aura matrix, Waste Management, vol.32, issue.12, pp.2229-2238, 2012.
DOI : 10.1016/j.wasman.2012.06.002

R. Yusof, M. Khalid, and A. S. Khairuddin, Application of kernel-genetic algorithm as nonlinear feature selection in tropical wood species recognition system, Computers and Electronics in Agriculture, vol.93, pp.68-77, 2013.
DOI : 10.1016/j.compag.2013.01.007

Z. Haliche and K. Hammouche, The gray level aura matrices for textured image segmentation, Analog Integrated Circuits and Signal Processing, vol.1, issue.2, pp.29-38, 2011.
DOI : 10.1109/TVCG.2007.31

P. Sobrevilla and E. Montseny, Fuzzy sets in computer vision: an overview, Mathware & Soft Computing, vol.10, issue.3, pp.71-83, 2003.

A. Barcelo, E. Montseny, and P. Sobrevilla, Fuzzy texture unit and fuzzy texture spectrum for texture characterization, Fuzzy Sets and Systems, pp.239-252, 2007.
DOI : 10.1016/j.fss.2006.10.008

E. Keramidas, D. Iakovidis, and D. Maroulis, Fuzzy binary patterns for uncertainty-aware texture representation, Electronic Letters on Computer Vision and Image Analysis, vol.10, issue.1, pp.63-78, 2011.

C. Jawahar and A. Ray, Incorporation of gray-level imprecision in representation and processing of digital images, Pattern Recognition Letters, vol.17, issue.5, pp.541-546, 1996.
DOI : 10.1016/0167-8655(96)00002-5

H. D. Cheng, C. H. Chen, and H. H. Chiu, Image segmentation using fuzzy homogeneity criterion, Information Sciences, vol.98, issue.1-4, pp.237-262, 1997.
DOI : 10.1016/S0020-0255(96)00217-4

D. Sen and S. K. , Image Segmentation using Global and Local Fuzzy Statistics, 2006 Annual IEEE India Conference, pp.1-6, 2006.
DOI : 10.1109/INDCON.2006.302813

Y. Munklang, S. Auephanwiriyakul, and N. , Theera-Umpon, A novel fuzzy co-occurrence matrix for texture feature extraction, Procs. 13th International Conference on Computational Science and Its Applications (ICCSA'2013), Lecture Notes in Computer Science
DOI : 10.1007/978-3-642-39646-5_18

R. Verdú-monedero, J. Angulo, and J. Serra, Anisotropic Morphological Filters With Spatially-Variant Structuring Elements Based on Image-Dependent Gradient Fields, IEEE Transactions on Image Processing, vol.20, issue.1, pp.200-212, 2011.
DOI : 10.1109/TIP.2010.2056377

A. Landström and M. J. Thurley, Adaptive morphology using tensor-based elliptical structuring elements, Pattern Recognition Letters, vol.34, issue.12, pp.1416-1422, 2013.
DOI : 10.1016/j.patrec.2013.05.003

M. Syrjäsuo, E. F. Donovan, X. Qin, and Y. Yang, Automatic classification of auroral images in substorm studies, Procs. 8th International Conference on Substorms (ICS8), pp.309-313, 2006.

D. Dubois and H. Prade, Fuzzy sets and systems: theory and applications, of Mathematics in science and engineering, 1980.

M. Hanss, Applied fuzzy arithmetic: an introduction with engineering applications, 2005.

L. A. Zadeh, A theory of approximate reasoning machine intelligence, ed. by j. hayes, d. michie and l.i. mikulich, Machine Intelligence, pp.149-194, 1979.

I. Bloch and H. Ma??trema??tre, Fuzzy mathematical morphologies: A comparative study, Pattern Recognition, vol.28, issue.9, pp.1341-1387, 1995.
DOI : 10.1016/0031-3203(94)00312-A
URL : https://hal.archives-ouvertes.fr/hal-00556188

Y. Rubner, J. Puzicha, C. Tomasi, and J. M. Buhmann, Empirical Evaluation of Dissimilarity Measures for Color and Texture, Computer Vision and Image Understanding, vol.84, issue.1, pp.25-43, 2001.
DOI : 10.1006/cviu.2001.0934

T. Mäenpää and M. Pietikäinen, Classification with color and texture: jointly or separately?, Pattern Recognition, vol.37, issue.8, pp.1629-1640, 2004.
DOI : 10.1016/j.patcog.2003.11.011

O. Losson, A. Porebski, N. Vandenbroucke, and L. Macaire, Color texture analysis using CFA chromatic co-occurrence matrices, Computer Vision and Image Understanding, vol.117, issue.7, pp.747-763, 2013.
DOI : 10.1016/j.cviu.2013.03.001
URL : https://hal.archives-ouvertes.fr/hal-00799371

M. Pietikäinen, A. Hadid, G. Zhao, and T. Ahonen, Computer vision using local binary patterns, of Computational Imaging and Vision, 2011.

T. Ojala, T. Mäenpää, M. Pietikäinen, J. Viertola, J. Kyllönen et al., Outex new framework for empirical evaluation of texture analysis algorithms Available from, Procs. 16th International Conference on Pattern Recognition, pp.701-706, 2002.

T. Ojala, M. Pietikäinen, and T. Mäenpää, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.971-987, 2002.
DOI : 10.1109/TPAMI.2002.1017623
URL : http://www.ee.oulu.fi/research/imag/texture/publications/show_pdf.php?ID=94

Z. Guo, L. Zhang, and D. Zhang, A completed modeling of local binary pattern operator for texture classification, IEEE Transactions on Image Processing, vol.19, issue.6, pp.1657-1663, 2010.

R. T. Vieira, C. E. De-oliveira-chierici, C. T. Ferraz, and A. Gonzaga, Local Fuzzy Pattern: A New Way for Micro-pattern Analysis, Intelligent Data Engineering and Automated Learning -IDEAL 2012, pp.602-611, 2012.
DOI : 10.1007/978-3-642-32639-4_73

S. Lazebnik, C. Schmid, and J. Ponce, A sparse texture representation using local affine regions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.8, pp.1265-1278, 2005.
DOI : 10.1109/TPAMI.2005.151
URL : https://hal.archives-ouvertes.fr/inria-00548530

F. Bianconi and A. Fernández, An appendix to ???Texture databases ??? A comprehensive survey???, Pattern Recognition Letters, vol.45, pp.33-38, 2014.
DOI : 10.1016/j.patrec.2014.02.017

A. R. Backes, D. Casanova, and O. M. Bruno, Color texture analysis based on fractal descriptors, Pattern Recognition, vol.45, issue.5, pp.1984-1992, 2012.
DOI : 10.1016/j.patcog.2011.11.009
URL : http://www.producao.usp.br/bitstream/BDPI/32552/2/wos2012-368.pdf

M. Dhar, On Cardinality of Fuzzy Sets, International Journal of Intelligent Systems and Applications, vol.5, issue.6, pp.47-52, 2013.
DOI : 10.5815/ijisa.2013.06.06