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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/LM9QC
Repositorysid.inpe.br/sibgrapi@80/2006/07.17.01.11
Last Update2006:07.17.01.16.40 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2006/07.17.01.11.20
Metadata Last Update2024:03.23.15.31.00 (UTC) administrator
DOI10.1109/SIBGRAPI.2006.14
Citation KeyAudigierLotu:2006:DuThWa
TitleDuality between the watershed by image foresting transform and the fuzzy connectedness segmentation approaches
FormatOn-line
Year2006
Access Date2024, Apr. 27
Number of Files1
Size154 KiB
2. Context
Author1 Audigier, Romaric
2 Lotufo, Roberto
Affiliation1 FEEC - Unicamp
2 FEEC - Unicamp
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
Conference LocationManaus, AM, Brazil
Date8-11 Oct. 2006
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2006-07-17 01:16:40 :: audigier -> banon ::
2006-08-30 21:46:31 :: banon -> audigier ::
2008-07-17 14:11:03 :: audigier -> administrator ::
2009-08-13 20:38:06 :: administrator -> banon ::
2010-08-28 20:02:23 :: banon -> administrator ::
2024-03-23 15:31:00 :: administrator -> :: 2006
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsimage segmentation
watershed
mathematical morphology
image foresting transform
graph theory
fuzzy connectedness
AbstractThis paper makes a rereading of two successful image segmentation approaches, the fuzzy connectedness (FC) and the watershed (WS) approaches, by analyzing both by means of the Image Foresting Transform (IFT). This graph-based transform provides a sound framework for analyzing and implementing these methods. This paradigm allows to show the duality existing between the WS by IFT and the FC segmentation approaches. Both can be modeled by an optimal forest computation in a dual form (maximization of the similarities or minimization of the dissimilarities), the main difference being the input parameters: the weights associated to each arc of the graph representing the image. In the WS approach, such weights are based on the (possibly filtered) image gradient values whereas they are based on much more complex affinity values in the FC theory. An efficient algorithm for both FC and IFT-WS computation is proposed. Segmentation robustness issue is also discussed.
Arrangement 1MM > Duality between the...
Arrangement 2urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Duality between the...
Arrangement 3urlib.net > SDLA > Fonds > Full Index > Duality between the...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/LM9QC
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/LM9QC
Languageen
Target Fileaudigier-dualityIFT.pdf
User Groupaudigier
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPCW/4AUUH9L
8JMKD3MGPEW34M/46RFT7E
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.00.20 5
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 documentstage e-mailaddress edition electronicmailaddress group isbn issn label lineage mark mirrorrepository 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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