SEGMENTAÇÃO DE GRÃOS DE HEMATITA EM AMOSTRAS DE MINÉRIO DE FERRO POR ANÁLISE DE IMAGENS DE LUZ POLARIZADA / HEMATITE GRAIN SEGMENTATION OF IRON ORE SAMPLES BY POLARIZED LIGHT IMAGE ANALYSIS

AUTOR(ES)
DATA DE PUBLICAÇÃO

2008

RESUMO

The aim of the present work is to classify co-registered pixels of stacks of polarized light images of iron ore into their respective crystalline grains or pores, thus producing grain segmented images that can be analyzed by their size, shape and orientation distributions, as well as their porosity and the size and morphology of the pores. Polished sections of samples of hematite-rich ore are digitally imaged in a rotating polarizer microscope at varying planepolarization angles. An image stack is produced for every field of view, where each image corresponds to a polarizer position. Any point in the sample is registered to the same pixel coordinates at all images in the stack. The resulting set of intensities for each pixel is directly related to the orientation of the crystal sampled at the corresponding position. Multivariate analysis of the sets of intensities leads to the classification of the pixels into their respective crystalline grains. Individual hematite grains of iron ore, as well as their pores, are segmented. The results are compared to those obtained by visual point counting methods.

ASSUNTO(S)

reconhecimento de padrões hematite multivariate analisys minério de ferro engenharia de producao hematita segmentação de imagens polarized light microscopy pattern recognition análise multivariada iron ore microscopia de luz polarizada image segmentation

ACESSO AO ARTIGO

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