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dc.contributor.authorFelipussi, Siovani Cintrapt_BR
dc.contributor.authorScharcanski, Jacobpt_BR
dc.contributor.authorComba, Joao Luiz Dihlpt_BR
dc.date.accessioned2011-01-29T06:00:40Zpt_BR
dc.date.issued2008pt_BR
dc.identifier.issn0018-9456pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/27612pt_BR
dc.description.abstractPorous media modeling is relevant in several applications, such as agricultural engineering, where soil compaction analysis requires the estimation of soil transport properties. For example, the prediction of root growing patterns and their environmental impact is usually measured by analyzing soil fluid infiltration capacity and water retention. Recently, tomographic images have been used in nondestructive tests of soil. However, using such images is challenging for two reasons: 1) Tomographic images are usually noisy, which complicates their segmentation, and 2) modeling the soil structure requires establishing adjacency relations among neighboring tomographic slices, which has a significant computational cost due to the combinatorial nature of this problem. In this paper, we propose a solution for both problems. The experimental results show that soil samples can be analyzed and classified with significant accuracy using our proposed approach.en
dc.format.mimetypeapplication/pdf
dc.language.isoengpt_BR
dc.relation.ispartofIEEE transactions on instrumentation and measurement. New York. Vol. 57, no 11 (Nov. 2008), p. 2502-2512pt_BR
dc.rightsOpen Accessen
dc.subjectComputação gráficapt_BR
dc.subjectAdaptive systemsen
dc.subjectFeature extractionen
dc.subjectProcessamento : Imagempt_BR
dc.subjectGeometric modelingen
dc.subjectImage processingen
dc.subjectMaterials testingen
dc.subjectPorous mediaen
dc.subjectSoil measurementsen
dc.subjectStatistical geometryen
dc.subjectStatisticsen
dc.titleMeasuring statistical geometric properties of tomographic images of soilspt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb000665884pt_BR
dc.type.originEstrangeiropt_BR


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