Add to ORKGCAMEVA SYSTEM Automated optical identification of ore minerals in polished samples using multispectral digital images Support for basic ore microscopy / ore identification Geometallurgy: Automated system for quantitative mineralogy applications, more efficient than manual methods and less expensive than SEM system
Reflected-light microscopy is an essential method in earth and materials sciences for the observatio...
Optical image analysis (OIA) supporting microscopic observation can be applied to improve ore minera...
La presente tesis está centrada en el desarrollo del sistema CAMEVA, un sistema de microscopía multi...
Traditional identification of ore minerals with reflected light microscopy relies heavily on the exp...
A joint research to develop an efficient method for automated identification and quantification of o...
The choice of suitable beneficiation strategies is strictly linked to the precise mineral-petrograph...
Quantitative mineral characterisation is one of the fundamental subjects in mineral processing studi...
A full color image characterization was applied to the ore samples coming from both the massive copp...
Multispectral imaging of ore minerals under the microscope is a logical extension of quantitative co...
Quantitative techniques have become increasingly important in recent years in the study of ore miner...
El artículo presenta el sistema CAMEVA, un sistema de microscopía de reflectancia multiespectral esp...
Mineral processing relies heavily on the differential behaviour of particles in slurries. In order t...
The CAMEVA project (Automated system for the identification and quantitative measurement of ore mine...
Liberation of valuable minerals from multiphase ores is one of the main goat of a size reduction pro...
This paper presents an automatic system for mineralogical and textural characterization of iron ores...
Reflected-light microscopy is an essential method in earth and materials sciences for the observatio...
Optical image analysis (OIA) supporting microscopic observation can be applied to improve ore minera...
La presente tesis está centrada en el desarrollo del sistema CAMEVA, un sistema de microscopía multi...
Traditional identification of ore minerals with reflected light microscopy relies heavily on the exp...
A joint research to develop an efficient method for automated identification and quantification of o...
The choice of suitable beneficiation strategies is strictly linked to the precise mineral-petrograph...
Quantitative mineral characterisation is one of the fundamental subjects in mineral processing studi...
A full color image characterization was applied to the ore samples coming from both the massive copp...
Multispectral imaging of ore minerals under the microscope is a logical extension of quantitative co...
Quantitative techniques have become increasingly important in recent years in the study of ore miner...
El artículo presenta el sistema CAMEVA, un sistema de microscopía de reflectancia multiespectral esp...
Mineral processing relies heavily on the differential behaviour of particles in slurries. In order t...
The CAMEVA project (Automated system for the identification and quantitative measurement of ore mine...
Liberation of valuable minerals from multiphase ores is one of the main goat of a size reduction pro...
This paper presents an automatic system for mineralogical and textural characterization of iron ores...
Reflected-light microscopy is an essential method in earth and materials sciences for the observatio...
Optical image analysis (OIA) supporting microscopic observation can be applied to improve ore minera...
La presente tesis está centrada en el desarrollo del sistema CAMEVA, un sistema de microscopía multi...