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dc.contributor.advisorBlake, Richard E.nb_NO
dc.contributor.advisorNygaard, Pernb_NO
dc.contributor.authorBache-Wiig, Jensnb_NO
dc.contributor.authorHenden, Per Christiannb_NO
dc.date.accessioned2014-12-19T13:33:15Z
dc.date.available2014-12-19T13:33:15Z
dc.date.created2010-09-03nb_NO
dc.date.issued2005nb_NO
dc.identifier348135nb_NO
dc.identifierntnudaim:1090nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/251030
dc.description.abstractThe structure of a material is of special significance to its properties, and material structure has been an active area of research. In order to analyze the structure based on digital microcopy images of the material, noise reduction and binarization of these images are necessary. Measurements on fiber networks, found in paper and wood fiber - reinforced composites, require a segmentation of the imaged material sample into individual fibers. The acquisition process for modern X-ray absorption mode micro-tomographic images is described. An improved method for the binarization of paper and fiber-reinforced composite volumes is suggested. State of the art techniques for individual fiber segmentation are examined and an improved method is suggested. Software tools for the mentioned image processing tasks have been created and made available to the public. The orientation distribution of selected paper and composite samples was measured using these tools.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaimno_NO
dc.subjectSIF2 datateknikkno_NO
dc.subjectProgram- og informasjonssystemerno_NO
dc.titleIndividual fiber segmentation of three-dimensional microtomograms of paper and fiber-reinforced composite materialsnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber136nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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