We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
CARACTERIZAÇÃO DAS FORMAS DE OCORRÊNCIA E ASSOCIAÇÕES DE OURO POR ANÁLISE DE IMAGENS QUANTITATIVA.
- Authors
Rodrigues Costa, Fabrizzio; Pinho Nery, Guilherme; Ulsen, Carina; Daniel Uliana, Daniel Daniel Ulian; Contessotto, Renato; Lé Tassinari, Maria Manuela Maia; Kahn, Henrique
- Abstract
Evolution in gold ore processing units are increasingly focused towards efficiency seeking routines, leading to a low-cost and maximal financial gain. The mineral characterization, inserted into a multidisciplinary approach enables a knowledge adding dynamics that results in optimization alternatives and operating cost reduction. Being one of commonly used tools in mineral characterization, automated image analysis plays an important role in the mining sector mainly due to its rapid analysis, statistical robustness and reliability of the results. The technique can be performed using images acquired in a scanning electron microscope, usually associated with chemical microanalysis having applications in different stages of a mining venture. The following study aims to produce a mineral characterization using an automated image analysis technique by MLA. The automated image analysis tool proved to be very efficient defining particular features such as gold association, mineralogical composition, partition of the elements and accessibility of gold grains, which provides an objective subsidy for mine planning work and mineral processing
- Publication
Tecnologia em Metalurgia, Materiais e Mineração, 2017, Vol 14, Issue 2, p175
- ISSN
2176-1515
- Publication type
Article
- DOI
10.4322/2176-1523.1184