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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3S3N6B5
Repositorysid.inpe.br/sibgrapi/2018/10.19.14.02
Last Update2018:10.19.14.02.11 (UTC) gustavu92@gmail.com
Metadata Repositorysid.inpe.br/sibgrapi/2018/10.19.14.02.11
Metadata Last Update2022:05.18.22.18.33 (UTC) administrator
Citation KeyVasconcelosALRACPS:2018:EvSeMe
TitleEvaluation of segmentation methods based on classification patterns for micro-tomography applications in rock analysis
FormatOn-line
Year2018
Access Date2024, May 04
Number of Files1
Size702 KiB
2. Context
Author1 Vasconcelos, Gustavo José Querino de
2 Antonieti, Giovanna
3 Libel, Gustavo
4 Rosa, Paola
5 Archilha, Nathaly
6 Carvalho, Tiago
7 Pedrini, Helio
8 Spina, Thiago Vallin
Affiliation1 Institute of Computing - UNICAMP
2 Brazilian Synchrotron Light Laboratory
3 Federal University of Technology - UTFPR
4 Brazilian Synchrotron Light Laboratory
5 Brazilian Synchrotron Light Laboratory
6 IFSP
7 Institute of Computing - UNICAMP
8 Brazilian Synchrotron Light Laboratory
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addressgustavu92@gmail.com
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeWork in Progress
History (UTC)2018-10-19 14:02:11 :: gustavu92@gmail.com -> administrator ::
2022-05-18 22:18:33 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordstomography
superpixel
rock
pores
Abstract4D micro and nanotomography allows the study of time-resolved phenomena, such as understanding how water, oil, and gas interact within rock pore space to improve oil engineering. This category of experiment has only become possible due to the invention of powerful devices such as the MOGNO micro and nano-tomography beamline of Sirius, the new state-of-the-art Brazilian synchrotron light source. Nowadays, the biggest bottleneck for data analysis in this type of experiment is the image segmentation task, given that MOGNO may generate one 3.6 gigavoxels 3D image in 1-5s. To achieve near real-time image segmentation in the future and reduce manual processing, we propose to convert the image segmentation task into superpixel classification. We have evaluated different combinations of superpixel estimation algorithms, feature extraction filters, and pattern classifiers aiming to automatically segment the pore space in 3D micro-CT rock grain images.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2018 > Evaluation of segmentation...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3S3N6B5
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3S3N6B5
Languageen
Target FileSIBGRAPI_WIP_2018.pdf
User Groupgustavu92@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 11
sid.inpe.br/banon/2001/03.30.15.38.24 2
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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