Quantifying porosity through automated image collection and batch image processing: case study of three carbonates and an aragonite cemented sandstone

Jim Buckman, Shereef A. Bankole, Stephanie Zihms, Helen Lewis, Gary Couples, Patrick W.M. Corbett

Research output: Contribution to journalArticle

Abstract

Modern scanning electron microscopes often include software that allows for the possibility of obtaining large format high-resolution image montages over areas of several square centimeters. Such montages are typically automatically acquired and stitched, comprising many thousand individual tiled images. Images, collected over a regular grid pattern, are a rich source of information on factors such as variability in porosity and distribution of mineral phases, but can be hard to visually interpret. Additional quantitative data can be accessed through the application of image analysis. We use backscattered electron (BSE) images, collected from polished thin sections of two limestone samples from the Cretaceous of Brazil, a Carboniferous limestone from Scotland, and a carbonate cemented sandstone from Northern Ireland, with up to 25,000 tiles per image, collecting numerical quantitative data on the distribution of porosity. Images were automatically collected using the FEI software Maps, batch processed by image analysis (through ImageJ), with results plotted on 2D contour plots with MATLAB. These plots numerically and visually clearly express the collected porosity data in an easily accessible form, and have application for the display of other data such as pore size, shape, grain size/shape, orientation and mineral distribution, as well as being of relevance to sandstone, mudrock and other porous media.
Original languageEnglish
Article number70
Number of pages19
JournalGeosciences
Volume7
Issue number3
Early online date10 Aug 2017
DOIs
Publication statusE-pub ahead of print - 10 Aug 2017
Externally publishedYes

Fingerprint

aragonite
image processing
porosity
sandstone
carbonate
image analysis
limestone
software
electron
mineral
image resolution
thin section
mudstone
porous medium
grain size
Cretaceous
distribution

Keywords

  • high-resolution
  • porosity
  • SEM
  • image analysis
  • batch

Cite this

Buckman, Jim ; Bankole, Shereef A. ; Zihms, Stephanie ; Lewis, Helen ; Couples, Gary ; Corbett, Patrick W.M. / Quantifying porosity through automated image collection and batch image processing : case study of three carbonates and an aragonite cemented sandstone. In: Geosciences. 2017 ; Vol. 7, No. 3.
@article{518ad9de5c4d44b98d3799a0ecf1a3bc,
title = "Quantifying porosity through automated image collection and batch image processing: case study of three carbonates and an aragonite cemented sandstone",
abstract = "Modern scanning electron microscopes often include software that allows for the possibility of obtaining large format high-resolution image montages over areas of several square centimeters. Such montages are typically automatically acquired and stitched, comprising many thousand individual tiled images. Images, collected over a regular grid pattern, are a rich source of information on factors such as variability in porosity and distribution of mineral phases, but can be hard to visually interpret. Additional quantitative data can be accessed through the application of image analysis. We use backscattered electron (BSE) images, collected from polished thin sections of two limestone samples from the Cretaceous of Brazil, a Carboniferous limestone from Scotland, and a carbonate cemented sandstone from Northern Ireland, with up to 25,000 tiles per image, collecting numerical quantitative data on the distribution of porosity. Images were automatically collected using the FEI software Maps, batch processed by image analysis (through ImageJ), with results plotted on 2D contour plots with MATLAB. These plots numerically and visually clearly express the collected porosity data in an easily accessible form, and have application for the display of other data such as pore size, shape, grain size/shape, orientation and mineral distribution, as well as being of relevance to sandstone, mudrock and other porous media.",
keywords = "high-resolution, porosity, SEM, image analysis, batch",
author = "Jim Buckman and Bankole, {Shereef A.} and Stephanie Zihms and Helen Lewis and Gary Couples and Corbett, {Patrick W.M.}",
year = "2017",
month = "8",
day = "10",
doi = "10.3390/geosciences7030070",
language = "English",
volume = "7",
journal = "Geosciences",
issn = "2076-3263",
publisher = "Multidisciplinary Digital Publishing Institute",
number = "3",

}

Quantifying porosity through automated image collection and batch image processing : case study of three carbonates and an aragonite cemented sandstone. / Buckman, Jim; Bankole, Shereef A.; Zihms, Stephanie; Lewis, Helen; Couples, Gary; Corbett, Patrick W.M.

In: Geosciences, Vol. 7, No. 3, 70, 10.08.2017.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Quantifying porosity through automated image collection and batch image processing

T2 - case study of three carbonates and an aragonite cemented sandstone

AU - Buckman, Jim

AU - Bankole, Shereef A.

AU - Zihms, Stephanie

AU - Lewis, Helen

AU - Couples, Gary

AU - Corbett, Patrick W.M.

PY - 2017/8/10

Y1 - 2017/8/10

N2 - Modern scanning electron microscopes often include software that allows for the possibility of obtaining large format high-resolution image montages over areas of several square centimeters. Such montages are typically automatically acquired and stitched, comprising many thousand individual tiled images. Images, collected over a regular grid pattern, are a rich source of information on factors such as variability in porosity and distribution of mineral phases, but can be hard to visually interpret. Additional quantitative data can be accessed through the application of image analysis. We use backscattered electron (BSE) images, collected from polished thin sections of two limestone samples from the Cretaceous of Brazil, a Carboniferous limestone from Scotland, and a carbonate cemented sandstone from Northern Ireland, with up to 25,000 tiles per image, collecting numerical quantitative data on the distribution of porosity. Images were automatically collected using the FEI software Maps, batch processed by image analysis (through ImageJ), with results plotted on 2D contour plots with MATLAB. These plots numerically and visually clearly express the collected porosity data in an easily accessible form, and have application for the display of other data such as pore size, shape, grain size/shape, orientation and mineral distribution, as well as being of relevance to sandstone, mudrock and other porous media.

AB - Modern scanning electron microscopes often include software that allows for the possibility of obtaining large format high-resolution image montages over areas of several square centimeters. Such montages are typically automatically acquired and stitched, comprising many thousand individual tiled images. Images, collected over a regular grid pattern, are a rich source of information on factors such as variability in porosity and distribution of mineral phases, but can be hard to visually interpret. Additional quantitative data can be accessed through the application of image analysis. We use backscattered electron (BSE) images, collected from polished thin sections of two limestone samples from the Cretaceous of Brazil, a Carboniferous limestone from Scotland, and a carbonate cemented sandstone from Northern Ireland, with up to 25,000 tiles per image, collecting numerical quantitative data on the distribution of porosity. Images were automatically collected using the FEI software Maps, batch processed by image analysis (through ImageJ), with results plotted on 2D contour plots with MATLAB. These plots numerically and visually clearly express the collected porosity data in an easily accessible form, and have application for the display of other data such as pore size, shape, grain size/shape, orientation and mineral distribution, as well as being of relevance to sandstone, mudrock and other porous media.

KW - high-resolution

KW - porosity

KW - SEM

KW - image analysis

KW - batch

UR - https://researchportal.hw.ac.uk/en/publications/quantifying-porosity-through-automated-image-collection-and-batch

U2 - 10.3390/geosciences7030070

DO - 10.3390/geosciences7030070

M3 - Article

VL - 7

JO - Geosciences

JF - Geosciences

SN - 2076-3263

IS - 3

M1 - 70

ER -