Metallography is the science of studying the physical properties of metal microstructures, by means of microscopes. While traditional approaches involve the direct observation of the acquired images by human experts, Computer Vision techniques may help experts in the analysis of the inspected materials. In this paper we present an automated system to classify the phases of a Titanium alloy, Ti-6Al-4V. Our system has been tested to analyze the final products of a Friction Stir Welding process, to study the states of the microstructures of the welded material. © 2013 Springer-Verlag.
CITATION STYLE
Ducato, A., Fratini, L., La Cascia, M., & Mazzola, G. (2013). An automated visual inspection system for the classification of the phases of Ti-6Al-4V titanium alloy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8048 LNCS, pp. 362–369). https://doi.org/10.1007/978-3-642-40246-3_45
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