[Altmann J. and Reitbock H.J.P. (1984). A fast correlation method for scale and translation invariant pattern recognition, IEEE Transactions an Pattern Analysis and Machine Intelligence6(1): 46-57.10.1109/TPAMI.1984.4767474]Search in Google Scholar
[Beirlant J., Dudewicz E., Gyorfi L., van der Meulen EC (1997). Nonparametric entropy estimation: An overview, International Journal of Mathematical and Statistical Sciences6 (1):17-39.]Search in Google Scholar
[Bishop C.M. 1995. Neural Networks for Pattern Recognition, Oxford Press.10.1201/9781420050646.ptb6]Search in Google Scholar
[Brink A. D. and Pendock N. E. (1996). Minimum cross-entropy threshold selection, Pattern Recognition29(1): 179-188.10.1016/0031-3203(95)00066-6]Search in Google Scholar
[Dong P., Bilbro G.L. and Mo-Yuen Chow (2006). Implementation of artificial neural network for real time applications using field programmable analog arrays, Procedings of the International Joint Conference on Neural Networks, Vancouver, BC, Canada, pp. 1518-1524.]Search in Google Scholar
[Faugeras O. (1993). Three-Dimensional Computer Vision, MIT Press, Cambridge.]Search in Google Scholar
[Forsyth D.A. and Ponce J. (2003). Computer Vision: Modern Approach, Prentice Hall, Upper Saddle River, NJ.]Search in Google Scholar
[Goshtasby A., Gage S. H. and Bartolic J. F. (1984). A two-stage cross-correlation approach to template matching, IEEE Transactions on Pattern Analysis and Machine Intelligence6(3): 374-378.10.1109/TPAMI.1984.4767532]Search in Google Scholar
[Haykin S. (1999). Neural Networks. A Comprehensive Foundation, 2nd Ed. Prentice Hall, Upper Saddle River, NJ.]Search in Google Scholar
[Hero A.O. and Michel O.J.J. (1999). Asymptotic theory of greedy approximations to minimal-point random graphs, IEEE Transactions on Information Theory45(6): 1921-1938.10.1109/18.782114]Search in Google Scholar
[Kittler J., Illingworth J. and Foglein J. (1985). Threshold selection based on a simple image statistic, Computer Vision, Graphics, and Image Processing30(2): pp. 125-147.]Search in Google Scholar
[Maher J., Mc Ginley B., Rocke P. and Morgan F. (2006). Intrinsic hardware evolution of neural networks in reconfigurable analogue and digital devices, Proceedings of 14th Annual Symposium on Field-Programmable Custom Computing Machines FCCM' 06, Napa, USA, pp. 321-322.]Search in Google Scholar
[Mokkadem A. (1989). Estimation of the entropy and information of absolutely continuous random variables, IEEE Transactions on Information Theory35(1): 193-196.10.1109/18.42194]Search in Google Scholar
[Otsu N. (1979). A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man and Cybernetics9(1): 62-66.]Search in Google Scholar
[Pal N.R. (1996). On minimum cross-entropy thresholding, Pattern Recognition29(4): 575-580.10.1016/0031-3203(95)00111-5]Search in Google Scholar
[Pratt W.K. (2001). Digital Image Processing: PIKS Inside, 3rd Ed., John Wiley and Sons, New York.]Search in Google Scholar
[Ritter G.X. and Wilson J.N. (2001). Handbook of Computer Vision Algorithms in Image Algebra, 2nd Ed., CRC Press, Boca Raton, FL.]Search in Google Scholar
[Sezgin M. and Sankur B. (2004). Survey over image thresholding techniques and quantitative performance evaluation, Journal of Electronic Imaging13(1): 146-168.10.1117/1.1631315]Search in Google Scholar
[Tsai D., Lin Ch., and Chen J. (2003). The evolution of normalized cross correlation for defect detection, Pattern Recognition Letters24(15): 2525-2535.10.1016/S0167-8655(03)00098-9]Search in Google Scholar
[Zhu S.C., Wu Y. and Mumford D. (1997). Minimax entropy principle and its application to texture modeling, Neural Computation9(8): 1627-1660.10.1162/neco.1997.9.8.1627]Search in Google Scholar
[Zhu S.C., Wu Y. Mumford D. (1998). Filters, random fields and maximum entropy (FRAME): Towards a unified theory for texture modeling, International Journal of Computer Vision27(2): 107-126.]Search in Google Scholar