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Use of multi-spectral analysis for automatic identification of ores

dc.contributor.authorCatalina, Juan Carlos
dc.contributor.authorSegundo, Fernando
dc.contributor.authorBrea, Carolina
dc.contributor.authorPérez Barnuevo, Laura
dc.contributor.authorSamper, Josefina
dc.contributor.authorEspí, José Antonio
dc.contributor.authorSánchez, Lázaro
dc.contributor.authorCastroviejo, Ricardo
dc.description.abstractTraditional identification of ore minerals with reflected light microscopy relies heavily on the experience of the observer. Qualified observers have become a rarity, as ore microscopy is often neglected in today’s university training, but since it furnishes necessary and inexpensive information, innovative alternatives are needed, especially for quantification. Many of the diagnostic optical properties of ores defy quantification, but recent developments in electronics and optics allow new insights into the reflectance and colour properties of ores. Preliminary results for the development of an expert system aimed at the automatic identification of ores based on their reflectance properties are presented. The discriminatory capacity of the system is enhanced by near IR reflectance measures, while UV filters tested to date are unreliable. Interaction with image analysis software through a wholly automated microscope, to furnish quantitative and morphological information for geometallurgy, relies on automated identification of the ores based on the measured spectra. This methodology increases enormously the performance of the microscopist; nevertheless supervision by an expert is always neededen_US
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.subject.otherAutomated ore microscopyen_US
dc.subject.otherComputer visionen_US
dc.subject.otherMultispectral reflectance dataen_US
dc.titleAplicación del análisis multi-espectral para el reconocimiento automatizado de menas metálicasen_US
dc.titleUse of multi-spectral analysis for automatic identification of oreseng

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