PSI - Issue 3

Francesco Iacoviello et al. / Procedia Structural Integrity 3 (2017) 283–290 Author name / Structural Integrity Procedia 00 (2017) 000–000

290

8

De Santis, A., Di Bartolomeo, O., Iacoviello,D., Iacoviello, F, Quantitative shape evaluation of graphite elements in ductile iron, Journal of Materials Processing and Technology, Elsevier B.V., Vol.196, Issue 1-3, 292-302, 2008, ISSN: 0924-0136 De Santis, A., Di Bartolomeo, O., Iacoviello,D., Iacoviello, F, Discrete image model and segmentation for microstructure features identification in ductile irons , International Journal for Computational Vision and Biomechanics, ISSN: 0973-6778, Vol. 1, No. 2, 203-213, 2008 A.De Santis, D.Iacoviello, V.Di Cocco, F. Iacoviello, Graphite nodules features identification and damaging micromechanisms in ductile irons, Frattura e integrità strutturale, 26, 12-21, ISSN: 1971-8993, DOI: 103221/IGF-ESIS.26.02. Dobrzanski, L.A., Sroka, M., Dobrzanski, J., 2007. Journal of Achievements in Materials and Manufacturing Engineering. 20, 303-306. Filho, P.P.R., Moreira F.D.L., de Lima Xavier, F.G.L., Gomes, S.L., Dos Santos, J.C., Freitas, F.N.C., Freitas, R.G. 2015. New Analysis Method Application in Metallographic Images through the Construction of Mosaics Via Speeded Up Robust Features and Scale Invariant Feature Transform, Materials. 8, 3864-3882. Freitas V.L., DE Albuquerque, V.H.C., de Macedo Silva, E., Silva, A.A., Tavares, J.M.R.S., 2010. Nondestructive characterization of microstructure and determination of elastic properties in plain carbon steel using ultrasonic measurements, Materials Science and Engineering, A, 527, 4431-4437. Gacsi, Z., 2003. The application of digital image processing for materials science. Materials Science Forum, 213-230. Gonzalez, R. C., Woods, R. E., 2002. Digital Image Processing, Prentice Hall. Goswami, A.K., Gakhar, S., Kaur, H., 2014. Automatic object recognition from satellite images using artificial neural network. International Journal of Computer Applications. 95, 33-39. Hsu, C., Chan, C., Lin, C., (2003). A Practical Guide to Support Vector Classification. Khanna, T., 1990. Foundations of Neural Networks, Addison Wesley. Iacoviello, F., Iacoviello, D., Cavallini, M., 2004. Analysis of stress ratio effects on fatigue propagation in a sintered duplex steel by experimentation and artificial neural network approaches. Int. J. of Fatigue. 26, 819-828. Jiang, J., Trundle, P., Ren, J., 2010. Medical image analysis with artificial neural networks. Computerized medical imaging and graphics. 34, 617-631. Jolliffe, I.T., Cadima, J., 2016. Principal component analysis: a review and recent development. Philosophical transactions of the Royal Society A. Mason, J.C., Ellacott, S.W., Anderson, I.J., 1997. Mathematics of neural networks: models, algorithms and applications, Boston: Kluwer Academic. Morrogh, H., 1967. The solidification of Metals. The Iron and Steel Institute. 238. Labrecque, C., Gagne, M., 1998. Review ductile iron: fifty years of continuous development. Canadian Metallurgical Quarterly. 37, 343-378. Patil, V.V., Sanap, R.V., Kharate, R.B., 2015. Optical Character recognition using artificial neural network. 3, 73-76. Sharma, S., Singh, N., 2014. Optical character recognition using artificial neural networks approach. International Journal of emerging technology and advanced engineering. 4, 339-344. Shi, Z., He, L., Nakamura, T., Suzuki, K., Itoh, H., 2009. Survey on Neural Networks Used for Medical Image Processing. International Journal of Computational Science, 3, 86-100. Ward, R.G., 1962. An introduction to the physical chemistry of iron and steel making. Arnold, London.