<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-XEPCD14T/278a1861-4dba-43d1-90c3-cbace629be0a/PDF"><dcterms:extent>7439 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-XEPCD14T/c525ce7e-c5e2-409b-a066-9c8c97ca2dd4/TEXT"><dcterms:extent>40 KB</dcterms:extent></edm:WebResource><edm:TimeSpan rdf:about="2000-2024"><edm:begin xml:lang="en">2000</edm:begin><edm:end xml:lang="en">2024</edm:end></edm:TimeSpan><edm:ProvidedCHO rdf:about="URN:NBN:SI:DOC-XEPCD14T"><dcterms:isPartOf rdf:resource="https://www.dlib.si/details/urn:nbn:si:spr-fzwbu7gu" /><dcterms:issued>2013</dcterms:issued><dc:creator>Jeulin, Dominique</dc:creator><dc:creator>Peyrega, Charles</dc:creator><dc:format xml:lang="sl">številka:1</dc:format><dc:format xml:lang="sl">letnik:32</dc:format><dc:format xml:lang="sl">str. 27-43</dc:format><dc:identifier>ISSN:1580-3139</dc:identifier><dc:identifier>COBISSID:30793177</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-XEPCD14T</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">Društvo za stereologijo in kvantitativno analizo slike, Medicinska fakulteta</dc:publisher><dcterms:isPartOf xml:lang="sl">Image analysis and stereology</dcterms:isPartOf><dc:subject xml:lang="en">3D images</dc:subject><dc:subject xml:lang="en">fibrous media</dc:subject><dc:subject xml:lang="en">geodesic paths</dc:subject><dc:subject xml:lang="sl">matematična morfologija</dc:subject><dc:subject xml:lang="en">mathematical morphology</dc:subject><dc:subject xml:lang="sl">mikrostruktura</dc:subject><dc:subject xml:lang="en">tortuosity</dc:subject><dc:subject xml:lang="sl">tridimenzionalne slike</dc:subject><dc:subject xml:lang="sl">ukrivljenost</dc:subject><dc:subject xml:lang="sl">vlakna</dc:subject><dc:subject rdf:resource="http://www.wikidata.org/entity/Q530242" /><dcterms:temporal rdf:resource="2000-2024" /><dc:title xml:lang="sl">Estimation of tortuosity and reconstruction of geodesic paths in 3D|</dc:title><dc:description xml:lang="sl">The morphological tortuosity of a geodesic path in a medium can be defined as the ratio between its geodesic length and the Euclidean distance between its two extremities. Thus, the minimum tortuosity of all the geodesic paths into a medium in 2D or in 3D can be estimated by image processing methods using mathematical morphology. Considering a medium, the morphological tortuosities of its internal paths are estimated according to one direction, which is perpendicular to both starting and ending opposite extremities of the geodesic paths. The used algorithm estimates the morphological tortuosities from geodesic distance maps, which are obtained from geodesic propagations. The shape of the propagated structuring element used to estimate the geodesic distance maps on a discrete grid has a direct influence on the morphological tortuosity and has to be chosen very carefully. The results of our algorithm is an image with pixels p having a value equal to the length of the shortest path containing p and connected to two considered opposite boundaries A and B of the image. The analysis of the histogram of the morphological tortuosities gives access to their statistical distribution. Moreover, for each tortuosity the paths can be extracted from the original image, which highlights the location of them into the sample. However, these geodesic paths have to be reconstructed for further processing. The extraction, because applying a threshold on the tortuosities, results in disconnected components, especially for highly tortuous paths. This reconstruction consists in reconnecting these components to the geodesic path linking the two opposite faces, by means of a backtracking algorithm</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:DOC-XEPCD14T"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:DOC-XEPCD14T" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:DOC-XEPCD14T/278a1861-4dba-43d1-90c3-cbace629be0a/PDF" /><edm:rights rdf:resource="http://rightsstatements.org/vocab/InC/1.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Društvo za stereologijo in kvantitativno analizo slike</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:DOC-XEPCD14T/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:DOC-XEPCD14T" /></ore:Aggregation></rdf:RDF>