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Minerals 2017, 7(11), 222; https://doi.org/10.3390/min7110222

Comparison of Seven Texture Analysis Indices for Their Applicability to Stereological Correction of Mineral Liberation Assessment in Binary Particle Systems

Environmental Management Research Institute, Department of Energy and Environment, National Institute of Advanced Industrial Science and Technology (AIST), 16-1 Onogawa, Tsukuba 305-8569, Ibaraki, Japan
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Received: 27 October 2017 / Revised: 10 November 2017 / Accepted: 14 November 2017 / Published: 16 November 2017
(This article belongs to the Special Issue Process Mineralogy of Critical Metals)
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Abstract

An effective correction method for stereological bias is required because of the importance of accurate assessment of mineral liberation of ore particles. Stereological bias is error caused by the estimation of a three-dimensional liberation state based on two-dimensional sectional measurements. Recent studies have proposed a stereological correction method based on sectional particle texture analysis, which employs numerical particle models. However, the applicability of this method to unfamiliar particle systems, with different shape and texture characteristics from the numerical particle model, has not been thoroughly investigated. In this study, the viability of the method for examination of the internal structure and shape of unfamiliar particles, was assessed using four types of particle systems, based on combinations of two types of internal structures (Boolean and Voronoi) and two types of particle shapes (spherical and irregular). Seven different texture analysis indices were utilized for composition distribution correction with regard to each of the four types of particle systems. The results suggested that a model based on the angular second moment and/or entropy, employed by the spatial gray level dependence method, showed the greatest viability for assessment of unfamiliar particle internal structure and/or shape. View Full-Text
Keywords: fractal dimension; gray level difference method (GLDM); mineral liberation; spatial gray level dependence method (SGLDM); stereological bias; texture analysis fractal dimension; gray level difference method (GLDM); mineral liberation; spatial gray level dependence method (SGLDM); stereological bias; texture analysis
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Ueda, T.; Oki, T.; Koyanaka, S. Comparison of Seven Texture Analysis Indices for Their Applicability to Stereological Correction of Mineral Liberation Assessment in Binary Particle Systems. Minerals 2017, 7, 222.

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