Image based Particle Shape Analysis Toolbox (IPSAT)

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dc.contributor.author Tunwal, Mohit
dc.contributor.author Mulchrone, Kieran F.
dc.contributor.author Meere, Patrick A.
dc.date.accessioned 2020-03-31T10:43:45Z
dc.date.available 2020-03-31T10:43:45Z
dc.date.issued 2019-11-26
dc.identifier.citation Tunwal, M., Mulchrone, K. F. and Meere, P. A. (2020) 'Image based Particle Shape Analysis Toolbox (IPSAT)', Computers & Geosciences, 135, 104391, (11 pp). doi: 10.1016/j.cageo.2019.104391 en
dc.identifier.volume 135 en
dc.identifier.startpage 1 en
dc.identifier.endpage 11 en
dc.identifier.issn 0098-3004
dc.identifier.uri http://hdl.handle.net/10468/9794
dc.identifier.doi 10.1016/j.cageo.2019.104391 en
dc.description.abstract Shape analysis can provide vital information regarding the origin, transport and deposition history of grains. Particle shape measurement has been an active area of research for sedimentologists since the 20th century. With advancement in the field of computation and image analysis, shape analysis can be done in a faster and much more accurate way compared to manual measurements. The results obtained are reproducible as compared to visual qualitative analysis. However, there is a lack of image analysis software tools aimed at the field of sedimentology where the fine details of a particle boundaries are required. Image based Particle Shape Analysis Toolbox (IPSAT) developed in the Mathematica environment for the quantitative characterisation of sedimentary grains in 2-dimensions is presented here. This image analysis toolbox can be used to analyse consolidated as well as loose sediment samples. A total of 12 parameters are available for shape measurement comprising conventional shape parameters (roundness, angularity, circularity and irregularity), mathematically complex shape parameters (fractal dimension and Fourier descriptors) and common geometrical shape parameters (aspect ratio, convexity, solidity, mod ratio, rectangularity and compactness). Additionally, IPSAT offers to compute 6 particle size measurement parameters. Furthermore, 2-D particle size distribution can be transformed to a 3-D size distribution for thin section analysis. Example analyses have been carried out on a sandstone and a loose sediment sample. The toolbox presented here aims to establish a textural analysis methodology to be used by geologists and sedimentologists in particular. It will allow users to quantitatively characterise a large set of grains with a fast, cheap and robust methodology. en
dc.description.sponsorship Irish Petroleum Infrastructure Programme (PIP) (Irish Shelf Petroleum Studies Group (ISPSG)) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier en
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S0098300419305771
dc.rights © 2019 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC BY-NC-ND 4.0 license. en
dc.subject Angularity en
dc.subject Image analysis en
dc.subject Particle shape en
dc.subject Particle size en
dc.subject Roundness en
dc.subject Texture en
dc.title Image based Particle Shape Analysis Toolbox (IPSAT) en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Mohit Tunwal, Biological, Earth, and Environmental Sciences, University College Cork, Cork, Ireland. +353-21-490-3000 Email: mohit.tunwal@ucc.ie en
dc.internal.availability Full text available en
dc.check.info Access to this article is restricted until 24 months after publication by request of the publisher en
dc.check.date 2021-11-26
dc.date.updated 2020-03-31T09:52:42Z
dc.description.version Accepted Version en
dc.internal.rssid 500437692
dc.contributor.funder Irish Petroleum Infrastructure Programme (PIP) en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Computers & Geosciences en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress k.mulchrone@ucc.ie en
dc.internal.IRISemailaddress mohit.tunwal@ucc.ie en
dc.internal.IRISemailaddress p.meere@ucc.ie en
dc.identifier.articleid 104391 en


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