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dc.contributor.authorKellomäki, Markku
dc.contributor.authorKärkkäinen, Salme
dc.contributor.authorPenttinen, Antti
dc.contributor.authorLappalainen, Timo
dc.contributor.editorKoikkalainen, Pasi
dc.contributor.editorPenttinen, Antti
dc.contributor.editorOja, Hannu
dc.date.accessioned2020-05-20T07:09:10Z
dc.date.available2020-05-20T07:09:10Z
dc.date.issued2003fi
dc.identifier.citationKoikkalainen, P., Penttinen, A., & Oja, H. (Eds.). (2003).<em> Determination of fibre orientation distribution from images of fibre networks.</em> Jyväskylä, Finland: Center for Computational and Mathematical Modeling, University of Jyväskylä. Publications of the Laboratory of Data Analysis 4.fi
dc.identifier.isbn951-39-1526-3
dc.identifier.otherTUTKAID_22389
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/69107
dc.description.abstractWe recall two categories of algorithms for estimating fibre orientation distribution from an image of a spatial fibre system. In the first algorithm, the estimate is a magnitude-weighted distribution from angles perpendicular to the directions of the gradients in the image. The second algorithm is based on the scaled variogram of grey values scanned along a sampling line and its relation to the fibre orientation distribution. Using lines in several directions and assuming a parametric model for the orientation distribution, the orientation parameters are estimated numerically from a least-squares type procedure. Two versions of variogram-based methods are used in this work. We compare the potential of these three methods by simulated images of fibrous layers and their thresholded versions. All the methods were found to reproduce the original distribution with a good accuracy in the case of greyscale images where grammage, anisotropy and orientation angle are within the typical ranges of paper parameters. On the contrary, the variogram-based methods seem to handle the estimation of anisotropy in binary images more efficiently.fi
dc.format.extent21
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherCenter for Computational and Mathematical Modeling, University of Jyväskylä
dc.relation.ispartofseriesPublications of the Laboratory of Data Analysis
dc.subject.otherorientaatioanalyysifi
dc.subject.otherpaperifi
dc.subject.othersimulointifi
dc.titleDetermination of fibre orientation distribution from images of fibre networksfi
dc.typebook
dc.identifier.urnURN:NBN:fi:jyu-202005193324
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.type.urihttp://purl.org/eprint/type/Book
dc.date.updated2020-05-19T12:15:07Z
dc.description.reviewstatuspeerReviewed
dc.relation.issn1458-7254
dc.relation.numberinseries4
dc.type.versionpublishedVersion
dc.rights.accesslevelopenAccessfi
dc.format.contentfulltext


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