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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3MN7RM5
Repositorysid.inpe.br/sibgrapi/2016/11.01.19.44
Last Update2016:11.01.20.01.15 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/11.01.19.44.58
Metadata Last Update2022:05.18.22.21.11 (UTC) administrator
Citation KeyBejarMira:2016:ReFuCo
TitleRelative Fuzzy Connectedness on Directed Graphs and its Application in a Hybrid Method for Interactive Image Segmentation
FormatOn-line
Year2016
Access Date2024, Apr. 28
Number of Files1
Size2094 KiB
2. Context
Author1 Bejar, Hans Harley Ccacyahuillca
2 Miranda, Paulo A. V.
Affiliation1 IME-USP
2 IME-USP
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addresshans@ime.usp.br
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2016-11-01 20:01:15 :: hans@ime.usp.br -> administrator :: 2016
2022-05-18 22:21:11 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsRelative fuzzy connectedness
image foresting trans- form
graph-cut segmentation
graph search algorithms
AbstractAnatomical structures and tissues are often hard to be segmented in medical images due to their poorly defined boundaries, i.e., low contrast in relation to other nearby false boundaries. The specification of the boundary polarity can help to alleviate part of this problem. In this work, we discuss how to incorporate this property in the Relative Fuzzy Connectedness (RFC) framework. We present a new algorithm, named Oriented Relative Fuzzy Connectedness (ORFC), in terms of an oriented energy function subject to the seed constraints, and its application in powerful hybrid segmentation methods. The hybrid method proposed ORFC&Graph Cut preserves the robustness of ORFC respect to the seed choice, avoiding the shrinking problem of Graph Cut (GC), and keeps the strong control of the GC in the contour delination of irregular image boundaries. The proposed methods are evaluated using medical images of MRI and CT images of the human brain and thoracic studies.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Relative Fuzzy Connectedness...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3MN7RM5
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3MN7RM5
Languageen
Target Filehans.pdf
User Grouphans@ime.usp.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 6
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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