RT Journal Article
T1 Aplicación del análisis multi-espectral para el reconocimiento automatizado de menas metálicas
T1 Use of multi-spectral analysis for automatic identification of ores
A1 Catalina, Juan Carlos
A1 Segundo, Fernando
A1 Brea, Carolina
A1 Pérez Barnuevo, Laura
A1 Samper, Josefina
A1 Espí, José Antonio
A1 Sánchez, Lázaro
A1 Castroviejo, Ricardo
AB Traditional identification of ore minerals with reflected light microscopy relies heavily on the experienceof the observer. Qualified observers have become a rarity, as ore microscopy is often neglected in today’suniversity training, but since it furnishes necessary and inexpensive information, innovative alternatives areneeded, 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 colourproperties of ores. Preliminary results for the development of an expert system aimed at the automaticidentification of ores based on their reflectance properties are presented. The discriminatory capacity ofthe 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 quantitativeand morphological information for geometallurgy, relies on automated identification of the ores based onthe measured spectra. This methodology increases enormously the performance of the microscopist;nevertheless supervision by an expert is always needed
YR 2009
FD 2009
LK http://hdl.handle.net/10272/8007
UL http://hdl.handle.net/10272/8007
LA spa
DS Repositorio Institucional de la Universidad de Huelva
RD 31 may 2026