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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/vRUmx
Repositorysid.inpe.br/banon/2002/10.24.11.31
Last Update2002:09.03.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/10.24.11.31.09
Metadata Last Update2022:06.18.19.36.00 (UTC) administrator
DOI10.1109/SIBGRA.2002.1167137
Citation KeyLotufoFalcZamp:2002:IFGrMa
TitleIFT-Watershed from gray-scale marker
Year2002
Access Date2024, May 03
Number of Files1
Size304 KiB
2. Context
Author1 Lotufo, Roberto
2 Falcão, Alexandre Xavier
3 Zampirolli, Francisco
EditorGonçalves, Luiz Marcos Garcia
Musse, Soraia Raupp
Comba, João Luiz Dihl
Giraldi, Gilson
Dreux, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI)
Conference LocationFortaleza, CE, Brazil
Date10-10 Oct. 2002
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History (UTC)2008-07-17 14:10:47 :: administrator -> banon ::
2008-08-26 15:21:23 :: banon -> administrator ::
2009-08-13 20:36:45 :: administrator -> banon ::
2010-08-28 20:00:07 :: banon -> administrator ::
2022-06-18 19:36:00 :: administrator -> :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
AbstractThe watershed transform and the morphological reconstruction are two of the most important operators for image segmentation in the framework of mathematical morphology. In many situations, the segmentation requires the classical watershed transform of a reconstructed image. In this paper, we introduce the IFT-watershed from gray scale marker - a method to compute at same time, the reconstruction and the classical watershed transform of the reconstructed image, without explicit computation of any regional minima. The method is based on the Image Foresting Transform (IFT) - a unified and efficient approach to reduce image processing problems to a minimum-cost path forest problem in a graph. As additional contributions, we demonstrate that (i) the cost map of the IFT-watershed from markers is identical to the output of the superior gray scale reconstruction; (ii) other reconstruction algorithms are not watersheds; and (iii) the proposed method achieves competitive advantages as compared to the current classical watershed approach.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2002 > IFT-Watershed from gray-scale...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > IFT-Watershed from gray-scale...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/vRUmx
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/vRUmx
Languageen
Target File93.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QCSHP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.01.04.11 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Fortaleza, CE, Brazil, from October 7 to 10.
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