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Title: Characterization of coarse aggregate angularity using digital image processing
Author (s): Swift, Gregory Allen, 1971-
Advisor(s): Maerz, Norbert
Department/Lab Affiliations: Rock Mechanics & Explosives Research Center
Keywords: WipShape (Computer file)
Issue Date: 2007
Publisher: University of Missouri-Rolla
Citation: Swift, Gregory. "Characterization of Coarse Aggregate Angularity Using Digital Image Processing." Master's Thesis, Geological Engineering, University of Missouri-Rolla, 2007.
Abstract: "This thesis involves a comparative analysis between well-established physically performed measurements for coarse aggregate and an image-based system. A thorough literature review was conducted, focusing on the importance of aggregate shape and how it is measured. In addition, state of the art in image-based aggregate measurement was reviewed along with the impacts and difficulties of an image-based methodology. Physical testing, consisting of Uncompacted Void Content, Index of Particle Shape and Texture (Compacted Voids), and Percent of Fractured Particles (fractured face or crush counts), was performed on aggregate control samples prior to testing on bulk aggregate samples. All aggregate samples were then tested with the WipShape imaging system to obtain Minimum Average Curve Radius measurement data. Finally, the results of physical testing and Minimum Average Curve Radius measurements were analyzed to determine if correlations exist between the different methods"--Introduction, p. 2-3.
Type: Thesis/Dissertation
text
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titleCharacterization of coarse aggregate angularity using digital image processing
contributor.advisorMaerz, Norbert
contributor.authorSwift, Gregory Allen, 1971-
contributor.deptlabRock Mechanics & Explosives Research Center
contributor.sponsorTransportation Research Board
subjectWipShape (Computer file)
subject.LCSHAggregates (Building materials) -- Measurement.
subject.LCSHImage processing.
date.issued2007
publisherUniversity of Missouri-Rolla
identifier.URI
http://scholarsmine.mst.edu/thesis/pdf/Swift_09007dcc8042a3c4.pdf
identifier.citationSwift, Gregory. "Characterization of Coarse Aggregate Angularity Using Digital Image Processing." Master's Thesis, Geological Engineering, University of Missouri-Rolla, 2007.
identifier.oclc191805351
descriptionIncludes bibliographical references (p. 65-69).
descriptionMode of access: World Wide Web.
descriptionSystem requirements: Adobe Acrobat Reader; Internet browser.
descriptionThe entire thesis text is included in file.
descriptionThesis (M.S.)--University of Missouri--Rolla, 2007.
descriptionTitle from title screen of thesis/dissertation PDF file (viewed February 4, 2008)
descriptionVita.
description.abstract"This thesis involves a comparative analysis between well-established physically performed measurements for coarse aggregate and an image-based system. A thorough literature review was conducted, focusing on the importance of aggregate shape and how it is measured. In addition, state of the art in image-based aggregate measurement was reviewed along with the impacts and difficulties of an image-based methodology. Physical testing, consisting of Uncompacted Void Content, Index of Particle Shape and Texture (Compacted Voids), and Percent of Fractured Particles (fractured face or crush counts), was performed on aggregate control samples prior to testing on bulk aggregate samples. All aggregate samples were then tested with the WipShape imaging system to obtain Minimum Average Curve Radius measurement data. Finally, the results of physical testing and Minimum Average Curve Radius measurements were analyzed to determine if correlations exist between the different methods"--Introduction, p. 2-3.
description.
statementOfResponsibility
by Gregory Allen Swift.
typeThesis/Dissertation
type.DCMITypetext
rightsThese materials are protected under copyright by the original author.
language.ISO639-2eng
format.extentxi, 70 p. : ill., digital, PDF file.
date.accessioned2007-12-17T20:21:34Z
date.available2008-02-04T20:58:56Z
identifier.persist.URI
http://scholarsmine.mst.edu/thesis/Characterization_of__09007dcc8048dcc0.html
Full Text
Swift_09007dcc8042a3c4.pdf