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Physical characterization of coarse clasts with 3D image-analysis method: development, evaluation and application
KTH, School of Architecture and the Built Environment (ABE), Land and Water Resources Engineering, Engineering Geology and Geophysics.
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis presents a novel three dimensional (3D) image-analysis method for characterizing the physical characteristics of coarse particles in the field, and introduces new methodology for the total analysis of glacial till samples.

The novel image analysis method, called the GID method, is capable of determining the size, shape and surface texture of each individual clast analysed. Images of particles are taken in the field and analysis is done in the laboratory. Therefore the GID method makes it feasible to analyse statistically representative large sample in short period; for poorly sorted sediments, such as till, one-tonne is required if the analysis includes cobble size. The capability of the GID method was demonstrated by studying coarse clasts (20-200 mm) from till. There is excellent agreement in the results of the size distribution obtained from the GID method and sieve analysis. The GID method results for size and shape parameters show high and very high repeatability. The particle angularity in the GID method has not been measured to acceptable level; the repeatability test shows some variability.

The new methodology for total analysis of till applied the GID method at four different locations in Sweden. The total analysis included 3D size and shape distribution of coarse particles coupled to electrical resistivity, lithological distribution and magnetic susceptibility of the clasts. The results show clear difference in the till samples from the different sites.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2012. , x, 34 p.
Series
Trita-LWR. PHD, ISSN 1650-8602 ; 1066
Keyword [en]
3D image analysis; Particle angularity; Sieve analysis; Particle form; Gravel analysis; Repeatability; Lithological distribution
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-101388ISBN: 978-91-7501-458-6 (print)OAI: oai:DiVA.org:kth-101388DiVA: diva2:547294
Public defence
2012-09-12, V2, Teknikringen 74, KTH, Stockholm, 14:15 (English)
Opponent
Supervisors
Funder
Formas
Note

QC 20120828

Available from: 2012-08-28 Created: 2012-08-27 Last updated: 2012-08-28Bibliographically approved
List of papers
1. Digital sieving-Matlab based 3-D image analysis
Open this publication in new window or tab >>Digital sieving-Matlab based 3-D image analysis
2012 (English)In: Engineering Geology, ISSN 0013-7952, E-ISSN 1872-6917, Vol. 137-138, 74-84 p.Article in journal (Refereed) Published
Abstract [en]

A new image analysis technique for determining the three-dimensional size and shape distribution of coarse particles has been developed. It entails acquiring a pair of images, one each of the maximum and minimum projected area of the particles. Glow-In-the-Dark beads were used to create luminous background, thus it is named the GID method. In this study the size and shape distribution of four coarse-grained samples, size varies from 2 to 20. cm, have been analyzed. The size distribution of the samples obtained from the GID analysis is comparable to sieve analysis results, and has an extra advantage of being applicable in the field. The algorithm was developed in Matlab; therefore users could make some optimization in the program to meet their own needs as the program code is open source.

Keyword
Digital sieving, Image analysis, Particle form, Particle size, Shape distribution
National Category
Civil Engineering Geophysical Engineering
Identifiers
urn:nbn:se:kth:diva-32361 (URN)10.1016/j.enggeo.2012.04.001 (DOI)000304745500008 ()2-s2.0-84860130845 (Scopus ID)
Funder
Formas
Note
QC 20120611. Updated from submitted to published.Available from: 2011-04-13 Created: 2011-04-13 Last updated: 2017-12-11Bibliographically approved
2. Evaluation of image analysis methods for the quantification of particle angularity
Open this publication in new window or tab >>Evaluation of image analysis methods for the quantification of particle angularity
(English)In: Sedimentology, ISSN 0037-0746, E-ISSN 1365-3091Article in journal (Other academic) Accepted
National Category
Civil Engineering Geophysical Engineering
Identifiers
urn:nbn:se:kth:diva-101398 (URN)
Note

QS 2012

Available from: 2012-08-28 Created: 2012-08-28 Last updated: 2017-12-07Bibliographically approved
3. Repeatability of GID Image-analysis method for assessment size, shape and angularity of coarse particles
Open this publication in new window or tab >>Repeatability of GID Image-analysis method for assessment size, shape and angularity of coarse particles
(English)In: Engineering Geology, ISSN 0013-7952, E-ISSN 1872-6917Article in journal (Other academic) Submitted
National Category
Civil Engineering Geophysical Engineering
Identifiers
urn:nbn:se:kth:diva-101399 (URN)
Note

QS 2012

Available from: 2012-08-28 Created: 2012-08-28 Last updated: 2017-12-07Bibliographically approved
4. Total analysis of till using resistivity and 3D image analysis
Open this publication in new window or tab >>Total analysis of till using resistivity and 3D image analysis
(English)Article in journal (Other academic) Submitted
National Category
Civil Engineering Geophysical Engineering
Identifiers
urn:nbn:se:kth:diva-101400 (URN)
Note

QS 2012

Available from: 2012-08-28 Created: 2012-08-28 Last updated: 2012-08-28Bibliographically approved

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