1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/vRUmx |
Repository | sid.inpe.br/banon/2002/10.24.11.31 |
Last Update | 2002:09.03.03.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/10.24.11.31.09 |
Metadata Last Update | 2022:06.18.19.36.00 (UTC) administrator |
DOI | 10.1109/SIBGRA.2002.1167137 |
Citation Key | LotufoFalcZamp:2002:IFGrMa |
Title | IFT-Watershed from gray-scale marker |
Year | 2002 |
Access Date | 2024, May 03 |
Number of Files | 1 |
Size | 304 KiB |
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2. Context | |
Author | 1 Lotufo, Roberto 2 Falcão, Alexandre Xavier 3 Zampirolli, Francisco |
Editor | Gonçalves, Luiz Marcos Garcia Musse, Soraia Raupp Comba, João Luiz Dihl Giraldi, Gilson Dreux, Marcelo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI) |
Conference Location | Fortaleza, CE, Brazil |
Date | 10-10 Oct. 2002 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - 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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Abstract | The 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2002 > IFT-Watershed from gray-scale... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > IFT-Watershed from gray-scale... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/6qtX3pFwXQZeBBx/vRUmx |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/vRUmx |
Language | en |
Target File | 93.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46QCSHP 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.01.04.11 6 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Fortaleza, CE, Brazil, from October 7 to 10. |
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