Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Evaluation of image analysis methods used for quantification of particle angularity
KTH, School of Architecture and the Built Environment (ABE), Land and Water Resources Engineering, Engineering Geology and Geophysics.
KTH, School of Architecture and the Built Environment (ABE), Land and Water Resources Engineering, Engineering Geology and Geophysics.
KTH, School of Technology and Health (STH), Medical Engineering.
2013 (English)In: Sedimentology, ISSN 0037-0746, E-ISSN 1365-3091, Vol. 60, no 4, 1100-1110 p.Article in journal (Refereed) Published
Abstract [en]

Angularity is an important parameter in the characterization of particle morphology that is used to interpret the transport history of particles in sedimentary deposits. In the past, visual classification using silhouette charts was widely used to determine particle angularity, but this approach is subjective and time-consuming. With advances in modern image analysis techniques and low-cost software packages, it is possible to rapidly quantify particle angularity more objectively than using visual classification methods. This study re-examines the performance of three existing image analysis methods and one new image analysis procedure, applied to six rock and sediment samples that were visually different in angularity. To facilitate comparison between the angularity results, measurements were reduced to rankings for each aggregate sample. These results show that the four image analysis methods rank the angularity of the samples differently, and that none rank the mean angularity index in the same order as the angularity ranking using visual classification. Therefore, further research is needed to develop an image analysis method that can quantify the angularity of sedimentary particles more precisely.

Place, publisher, year, edition, pages
2013. Vol. 60, no 4, 1100-1110 p.
Keyword [en]
Angularity, grain texture, image analysis, Krumbein silhouette chart, morphology, roundness, sedimentary particle
National Category
Geology
Identifiers
URN: urn:nbn:se:kth:diva-124039DOI: 10.1111/j.1365-3091.2012.01367.xISI: 000319068300011Scopus ID: 2-s2.0-84878110920OAI: oai:DiVA.org:kth-124039DiVA: diva2:633939
Note

QC 20130628

Available from: 2013-06-28 Created: 2013-06-25 Last updated: 2017-12-06Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Tafesse, SolomonRobison Fernlund, Joanne M.Bergholm, Fredrik
By organisation
Engineering Geology and GeophysicsMedical Engineering
In the same journal
Sedimentology
Geology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 38 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf