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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3EEQBAE
Repositorysid.inpe.br/sibgrapi/2013/07.12.20.08
Last Update2013:07.12.20.08.40 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2013/07.12.20.08.40
Metadata Last Update2022:06.20.23.19.42 (UTC) administrator
DOI10.1109/SIBGRAPI.2013.29
Citation KeyMansillaCappMira:2013:ImSeIm
TitleImage Segmentation by Image Foresting Transform with Non-smooth Connectivity Functions
FormatOn-line.
Year2013
Access Date2024, Apr. 27
Number of Files1
Size603 KiB
2. Context
Author1 Mansilla, Lucy A. C.
2 Cappabianco, Fábio A. M.
3 Miranda, Paulo André Vechiatto de
Affiliation1 Department of Computer Science, University of São Paulo (USP)
2 Instituto de Ciência e Tecnologia, Universidade Federal de São Paulo
3 Department of Computer Science, University of São Paulo (USP)
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
e-Mail Addresspavmbr@yahoo.com.br
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Conference LocationArequipa, Peru
Date5-8 Aug. 2013
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2013-07-12 20:08:40 :: pavmbr@yahoo.com.br -> administrator ::
2022-06-20 23:19:42 :: administrator -> :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsgraph search algorithms
image foresting transform
non-smooth connectivity functions
AbstractIn the framework of the Image Foresting Transform (IFT), there is a class of connectivity functions that were vaguely explored, which corresponds to the non-smooth connectivity functions (NSCF). These functions are more adaptive to cope with the problems of field inhomogeneity, which are common in MR images of 3 Tesla. In this work, we investigate the NSCF from the standpoint of theoretical and experimental aspects. We formally classify several non-smooth functions according to a proposed diagram representation. Then, we investigate some theoretical properties for some specific regions of the diagram. Our analysis reveals that many NSCFs are, in fact, the result of a sequence of optimizations, each of them involving a maximal set of elements, in a well-structured way. Our experimental results indicate that substantial improvements can be obtained by NSCFs in the 3D segmentation of MR images of 3 Tesla, when compared to smooth connectivity functions.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2013 > Image Segmentation by...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Image Segmentation by...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3EEQBAE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3EEQBAE
Languageen
Target File114732_new.pdf
User Grouppavmbr@yahoo.com.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SLB4P
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.04.02 7
sid.inpe.br/banon/2001/03.30.15.38.24 2
sid.inpe.br/sibgrapi/2022/06.10.21.49 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage 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 volume


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