Estimation of uncertainty of concentration estimates obtained by image analysis

M. Korpelainen (Corresponding Author), S.-P. Reinikainen, Jukka Laukkanen, P. Minkkinen

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)

Abstract

Images from the scanning electron microscope (SEM) and the optical microscope are widely used in mineral processing to estimate the concentrations of mineral species.
The aim of this study was to optimize the procedure used for the determination of concentration estimates from SEM images of ore and rock samples. The goal was especially to develop a method that would allow the estimation of the concentration uncertainty when the image analysis is still in progress.
For this study, samples consisting of chromite (FeCr2O4, density 4.7 g cm−3) and quartz (SiO2, density 2.7 g cm−3) were prepared. The chromite concentration in the sample materials varied from 0.1 to 90 wt%.
Four replicate microscopic samples for each chromite concentration were prepared and analysed. The total number of samples was 36. Two hundred images and 20 000–30 000 particles per microscopic sample were analysed.
Estimation of the sampling error was based on Pierre Gy's sampling theory. Several error components were studied and the error estimates were found to be relatively reliable when they were based on the fundamental sampling error
Original languageEnglish
Pages (from-to)548-554
JournalJournal of Chemometrics
Volume16
Issue number8-10
DOIs
Publication statusPublished - 2002
MoE publication typeA1 Journal article-refereed

Fingerprint

Image Analysis
Chromite
Image analysis
Uncertainty
Sampling
Estimate
Electron microscopes
Scanning Electron Microscope
Scanning
Quartz
Ore treatment
Ores
Minerals
Sampling Theory
Microscopes
Rocks
SiO2
Microscope
Error Estimates
Optimise

Keywords

  • image analysis
  • measurement uncertainty
  • sampling theory
  • SEM
  • stereology

Cite this

Korpelainen, M., Reinikainen, S-P., Laukkanen, J., & Minkkinen, P. (2002). Estimation of uncertainty of concentration estimates obtained by image analysis. Journal of Chemometrics, 16(8-10), 548-554. https://doi.org/10.1002/cem.741
Korpelainen, M. ; Reinikainen, S.-P. ; Laukkanen, Jukka ; Minkkinen, P. / Estimation of uncertainty of concentration estimates obtained by image analysis. In: Journal of Chemometrics. 2002 ; Vol. 16, No. 8-10. pp. 548-554.
@article{5690574fbfdd42cbbb21eb53b0625759,
title = "Estimation of uncertainty of concentration estimates obtained by image analysis",
abstract = "Images from the scanning electron microscope (SEM) and the optical microscope are widely used in mineral processing to estimate the concentrations of mineral species. The aim of this study was to optimize the procedure used for the determination of concentration estimates from SEM images of ore and rock samples. The goal was especially to develop a method that would allow the estimation of the concentration uncertainty when the image analysis is still in progress. For this study, samples consisting of chromite (FeCr2O4, density 4.7 g cm−3) and quartz (SiO2, density 2.7 g cm−3) were prepared. The chromite concentration in the sample materials varied from 0.1 to 90 wt{\%}. Four replicate microscopic samples for each chromite concentration were prepared and analysed. The total number of samples was 36. Two hundred images and 20 000–30 000 particles per microscopic sample were analysed. Estimation of the sampling error was based on Pierre Gy's sampling theory. Several error components were studied and the error estimates were found to be relatively reliable when they were based on the fundamental sampling error",
keywords = "image analysis, measurement uncertainty, sampling theory, SEM, stereology",
author = "M. Korpelainen and S.-P. Reinikainen and Jukka Laukkanen and P. Minkkinen",
year = "2002",
doi = "10.1002/cem.741",
language = "English",
volume = "16",
pages = "548--554",
journal = "Journal of Chemometrics",
issn = "0886-9383",
publisher = "Wiley",
number = "8-10",

}

Korpelainen, M, Reinikainen, S-P, Laukkanen, J & Minkkinen, P 2002, 'Estimation of uncertainty of concentration estimates obtained by image analysis', Journal of Chemometrics, vol. 16, no. 8-10, pp. 548-554. https://doi.org/10.1002/cem.741

Estimation of uncertainty of concentration estimates obtained by image analysis. / Korpelainen, M. (Corresponding Author); Reinikainen, S.-P.; Laukkanen, Jukka; Minkkinen, P.

In: Journal of Chemometrics, Vol. 16, No. 8-10, 2002, p. 548-554.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Estimation of uncertainty of concentration estimates obtained by image analysis

AU - Korpelainen, M.

AU - Reinikainen, S.-P.

AU - Laukkanen, Jukka

AU - Minkkinen, P.

PY - 2002

Y1 - 2002

N2 - Images from the scanning electron microscope (SEM) and the optical microscope are widely used in mineral processing to estimate the concentrations of mineral species. The aim of this study was to optimize the procedure used for the determination of concentration estimates from SEM images of ore and rock samples. The goal was especially to develop a method that would allow the estimation of the concentration uncertainty when the image analysis is still in progress. For this study, samples consisting of chromite (FeCr2O4, density 4.7 g cm−3) and quartz (SiO2, density 2.7 g cm−3) were prepared. The chromite concentration in the sample materials varied from 0.1 to 90 wt%. Four replicate microscopic samples for each chromite concentration were prepared and analysed. The total number of samples was 36. Two hundred images and 20 000–30 000 particles per microscopic sample were analysed. Estimation of the sampling error was based on Pierre Gy's sampling theory. Several error components were studied and the error estimates were found to be relatively reliable when they were based on the fundamental sampling error

AB - Images from the scanning electron microscope (SEM) and the optical microscope are widely used in mineral processing to estimate the concentrations of mineral species. The aim of this study was to optimize the procedure used for the determination of concentration estimates from SEM images of ore and rock samples. The goal was especially to develop a method that would allow the estimation of the concentration uncertainty when the image analysis is still in progress. For this study, samples consisting of chromite (FeCr2O4, density 4.7 g cm−3) and quartz (SiO2, density 2.7 g cm−3) were prepared. The chromite concentration in the sample materials varied from 0.1 to 90 wt%. Four replicate microscopic samples for each chromite concentration were prepared and analysed. The total number of samples was 36. Two hundred images and 20 000–30 000 particles per microscopic sample were analysed. Estimation of the sampling error was based on Pierre Gy's sampling theory. Several error components were studied and the error estimates were found to be relatively reliable when they were based on the fundamental sampling error

KW - image analysis

KW - measurement uncertainty

KW - sampling theory

KW - SEM

KW - stereology

UR - https://onlinelibrary.wiley.com/toc/1099128x/2002/16/8%E2%80%9010

U2 - 10.1002/cem.741

DO - 10.1002/cem.741

M3 - Article

VL - 16

SP - 548

EP - 554

JO - Journal of Chemometrics

JF - Journal of Chemometrics

SN - 0886-9383

IS - 8-10

ER -