Journal of Materials Research and Technology Journal of Materials Research and Technology
J Mater Res Technol 2018;7:376-80 DOI: 10.1016/j.jmrt.2018.06.014
Original Article
Automatic characterization of iron ore by digital microscopy and image analysis
Julio César Álvarez Iglesiasa, Karen Soares Augustoa, Otávio da Fonseca Martins Gomesb,c,, , Alei Leite Alcântara Dominguesd, Maria Beatriz Vieirad, Catia Casagrandee, Sidnei Paciornika
a Department of Chemical and Materials Engineering, PUC-Rio, Rua Marquês de São Vicente, 225, Rio de Janeiro 22451-900, Brazil
b Centre for Mineral Technology (CETEM), Av. Pedro Calmon, 900, Ilha da Cidade Universitária, 21941-908 Rio de Janeiro, Brazil
c Postgraduate Program in Geosciences, National Museum, UFRJ, Av. Quinta da Boa Vista, S/N, São Cristóvão, 20940-040 Rio de Janeiro, Brazil
d Ferrous Technology Center (CTF), Vale, Centro de Pesquisas do Miguelão, Av. de Ligação 3580, Nova Lima, 34000-000 Minas Gerais, Brazil
e Pelletizing Direction (DIPE), Vale, Complexo de Tubarão, Avenida Dante Michelini, 5500, 29090-900 Vitória, Espírito Santo, Brazil
Received 19 November 2017, Accepted 10 June 2018
Abstract

This paper presents an automatic system for mineralogical and textural characterization of iron ores based on digital microscopy and image analysis. It employs a motorized and computer-controlled reflected light microscope in a correlative approach that combines bright field and circular polarization modes. Mosaic images covering large areas of polished sections are acquired to image thousands of particles. Different classifiers discriminate compact and non-compact hematite, polycrystalline and monocrystalline particles, and identify particles as granular, lamellar, and lobular. The entire process is automatic and produces a full pdf report containing typical images and the quantification of mineral and textural phases.

Keywords
Iron ore, Texture, Characterization, Image analysis, Classification
J Mater Res Technol 2018;7:376-80 DOI: 10.1016/j.jmrt.2018.06.014
Cookies Policy
x
To improve our services and products, we use cookies (own or third parties authorized) to show advertising related to client preferences through the analyses of navigation customer behavior. Continuing navigation will be considered as acceptance of this use. You can change the settings or obtain more information by clicking here.