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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3JUJR2L
Repositorysid.inpe.br/sibgrapi/2015/08.01.00.03
Last Update2015:08.01.00.03.01 (UTC) lucyacm@vision.ime.usp.br
Metadata Repositorysid.inpe.br/sibgrapi/2015/08.01.00.03.01
Metadata Last Update2022:05.18.22.21.01 (UTC) administrator
Citation KeyMansillaMira:2015:ImSeIm
TitleImage Segmentation by Image Foresting Transform with Non-smooth Connectivity Functions
FormatOn-line
Year2015
Access Date2024, Apr. 20
Secondary TypeMaster's Work
Number of Files1
Size600 KiB
2. Context
Author1 Mansilla, Lucy Alsina Choque
2 Miranda, Paulo André Vechiatto de
EditorSegundo, Maurício Pamplona
Faria, Fabio Augusto
e-Mail Addresslucyacm@vision.ime.usp.br
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador, BA, Brazil
Date26-29 Aug. 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2015-08-01 00:03:01 :: lucyacm@vision.ime.usp.br -> administrator ::
2022-05-18 22:21:01 :: administrator -> :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordscut
image foresting transform
oriented image foresting transform
non-smooth connectivity function
geodesic star convexity
AbstractImage segmentation, such as to extract an object from a background, is very useful for medical and biological image analysis. In this work, we propose new methods for interactive segmentation of multidimensional images, based on the Image Foresting Transform (IFT), by exploiting for the first time non-smooth connectivity functions (NSCF) with a strong theoretical background. The new algorithms provide global optimum solutions according to an energy function of graph cut, subject to high-level boundary constraints (polarity and shape), or consist in a sequence of paths' optimization in residual graphs. Our experimental results indicate substantial improvements in accuracy in relation to other state-of-the-art methods, by allowing the customization of the segmentation to a given target object.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2015 > Image Segmentation by...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3JUJR2L
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JUJR2L
Languageen
Target FileWTD_SIBGRAPI2015_Image_Segmentation_by_IFT_with_NSCF_camera-ready.pdf
User Grouplucyacm@vision.ime.usp.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Citing Item Listsid.inpe.br/sibgrapi/2015/08.03.22.49 7
sid.inpe.br/banon/2001/03.30.15.38.24 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsaffiliation archivingpolicy 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 serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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