Digital methods for flakiness and shape definition

Profitis, E; Chatzitheodoridis, E; Xirouchakis, D

dc.contributor.author	Profitis, E	en
dc.contributor.author	Chatzitheodoridis, E	en
dc.contributor.author	Xirouchakis, D	en
dc.date.accessioned	2014-03-01T02:53:37Z
dc.date.available	2014-03-01T02:53:37Z
dc.date.issued	2012	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36447
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84856657433&partnerID=40&md5=735cc78eb6743dd901cbca348474278b	en
dc.subject.other	Crystal separation	en
dc.subject.other	Digital methods	en
dc.subject.other	Geometrical parameters	en
dc.subject.other	Grain shapes	en
dc.subject.other	Industrial use	en
dc.subject.other	K-means cluster analysis	en
dc.subject.other	Limestone grains	en
dc.subject.other	Mathematical software	en
dc.subject.other	Non-destructive technique	en
dc.subject.other	Object separation	en
dc.subject.other	Shape definition	en
dc.subject.other	Thin section	en
dc.subject.other	Cluster analysis	en
dc.subject.other	Image processing	en
dc.subject.other	Industrial applications	en
dc.subject.other	Separation	en
dc.subject.other	Sieves	en
dc.subject.other	Nondestructive examination	en
dc.title	Digital methods for flakiness and shape definition	en
heal.type	conferenceItem	en
heal.publicationDate	2012	en
heal.abstract	The mathematical software Matlab provides basic tools for image processing and for automated calculation of geometrical parameters of objects, such as perimeter, area, maximum and minimum length. We use k-means cluster analysis for object separation at various scales, macroscopic or microscopic, such as crystal separation in rock thin sections based on their colour and/or their luminance and also to provide textural data. The overall code automates a series of procedures that lead to the exact definition of the areas, perimeters, and the maximum and minimum lengths of limestone grains of industrial use. Histograms of the maximum and minimum lengths are provided, which constitute useful parameters to establish grain shape and elongation. They are compared with results from measurements of gravel sizes using sieves. Image analysis is a non-destructive technique, with the advantage of analyzing quickly a larger volume of sample. Measured sizes are more correct than when sieves are used. © 2012 Taylor & Francis Group, London.	en
heal.journalName	Emerging Technologies in Non-Destructive Testing V - Proceedings of the 5th Conference on Emerging Technologies in NDT	en
dc.identifier.spage	437	en
dc.identifier.epage	440	en