M. K. Osman, M. Y. Mashor, Z. Saad, and H. Jaafar, Colour image segmentation of Tuberculosis bacillus in Ziehl-Neelsen-Stained tissue Images using moving K- Mean clustering procedure, 4th Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, pp.215-220, 2010.

M. G. Foreo, G. Gristóbal, and J. Alvarez-borrego, Automatic identification techniques of tuberculosis bacteria, Proceedings of the Applications of Digital Image Processing XXVI, pp.71-81, 2003.

M. G. Foreo, F. Sroukeb, and G. Cristóbal, Identification of tuberculosis bacteria based on shape and color, Real-Time Imaging, vol.10, issue.4, pp.251-262, 2004.
DOI : 10.1016/j.rti.2004.05.007

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, pp.273-297, 1995.
DOI : 10.1007/BF00994018

C. Chih-chung and . Lin, LIBSVM: A library for Support Vector Machines

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931

J. M. Geusebroek, R. V. Boomgaard, A. W. Smeulders, and H. Geerts, Color invariance, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.12, 2001.
DOI : 10.1109/34.977559

M. J. Swain and D. H. Ballard, Color indexing, International Journal of Computer Vision, vol.31, issue.1, pp.11-32, 1991.
DOI : 10.1007/978-1-4899-5379-7

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.610-62, 1973.
DOI : 10.1109/TSMC.1973.4309314
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.434.6

G. Shan and A. , Artés-Rodrigués, Science report