Zhang, W.L. and Wang, X.Z. (2007) Extraction and classification for human brain CT images. Proceedings of Sixth International Conference on Machine learning and cybernetics, IEEE., 1155-1156.
Stoitsis, J., Valavanis, I., Valavanis, S.G., Golemati, S., Nikita, A. and Nikita K.S. (2006) Computer aided diag- nosis based on medical image processing and artificial intelligence methods, Nuclear Instruments and Methods in Physics Research, 569, 591-595.
Haruka, D. and Teruak, A. (2007) Characterization of spatiotemporal stress distribution during food fracture by image texture analysis methods. Journal of Food Engineering, 81, 429-436.
Wang, X.Z. and Lin, W.X. (2007) Application of induc- tive learning in human brain CT image recognition. Proceedings of Sixth International Conference on Machine learning and cybernetics, IEEE., 1155-1156.
Haralick, R.M., Shanmugam, K. and Dinstein, I. (1973) Textural features for image classification. IEEE Transactions on Systems, Man, and Cybernetics, SMC-3, 6, 610-621
Haruka, D. and Teruak, A. (2007) Characterization of spatiotemporal stress distribution during food fracture by image texture analysis methods, Journal of Food Engin- eering, 81, 429-436.
Giardina, C.R. and Dougherty, E.R. (1988) Morpholo- gical Methods in Image and Signal Processing. Engle- wood Cliffs, NJ, Prentice–Hal.
Chen, C.W., Luo, J. and Parker, K.J. (1998) Segmen- tation via adaptive K-Mean clustering and knowledge- based morfological operations with biomedical applica- tions, IEEE Trans, Image Processing, Vol. 7, 12, 1673- 1683.
Mitchell, T.M.(2003) Machin learning. China Machine Press, Beijing.
Mandayam, S. and Policar, R. Artificial neural networks. Lecture Note.
Duin, R.P.W., Juszczak, P., Paclik, P., Pekalska, E., de Ridder, D. and Tax, D.M.J. (2004) A matlab toolbox for pattern recognition. PRTools4, Delft University of Technology.