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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PK979E
Repositorysid.inpe.br/sibgrapi/2017/09.11.19.41
Last Update2017:09.11.19.41.10 (UTC) caiobraz@vision.ime.usp.br
Metadata Repositorysid.inpe.br/sibgrapi/2017/09.11.19.41.10
Metadata Last Update2022:05.18.22.18.26 (UTC) administrator
Citation KeyMoraesBrazVech:2017:ImSeIm
TitleImage Segmentation by Image Foresting Transform with Geodesic Band Constraints
FormatOn-line
Year2017
Access Date2024, Apr. 28
Number of Files1
Size4959 KiB
2. Context
Author1 de Moraes Braz, Caio
2 Vechiatto de Miranda, Paulo André
Affiliation1 IME-USP
2 IME-USP
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addresscaiobraz@vision.ime.usp.br
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2017-09-11 19:41:10 :: caiobraz@vision.ime.usp.br -> administrator ::
2022-05-18 22:18:26 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsImage Segmentation
IFT
shape constraints
AbstractThe Image Foresting Transform framework (IFT) was successfully used to implement several segmentation meth- ods, including watersheds and fuzzy connectedness, however the lack of regularization terms in its formulation leads to a potential irregular (jagged) segmentation. An attempt to avoid this issue is to employ shape constraints that favor more regular shapes. We present a novel shape constraint, called the Geodesic Band Constraint (GBC) and show how it can be efficiently incorporated in the Image Foresting Transform framework, with its proof of optimality in terms of an energy function, subject to the new constraint. This constraint helps us to improve the segmentation of regular objects. The GBC can be also used with a prior shape template in order to drive the segmentation towards a specific shape with a single parameter that controls the degrees of freedom of the allowed deformations subject to the model.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2017 > Image Segmentation by...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PK979E
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PK979E
Languageen
Target FileCameraReady_CaioBraz.pdf
User Groupcaiobraz@vision.ime.usp.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 6
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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