1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/CJU2b |
Repository | sid.inpe.br/banon/2004/07.12.16.21 |
Last Update | 2004:07.12.03.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2004/07.12.16.21.40 |
Metadata Last Update | 2022:06.20.23.33.50 (UTC) administrator |
DOI | 10.1109/SIBGRA.2004.1352944 |
Citation Key | FalcãoBergMira:2004:ImSeTr |
Title | Image segmentation by tree pruning |
Format | On-line |
Year | 2004 |
Access Date | 2024, Apr. 28 |
Number of Files | 1 |
Size | 372 KiB |
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2. Context | |
Author | 1 Falcão, Alexandre Xavier 2 Bergo, Felipe Paulo Guazzi 3 Miranda, Paulo André Vechiatto de |
Affiliation | 1 Institute of Computing - State University of Campinas (Unicamp) |
Editor | Araújo, Arnaldo de Albuquerque Comba, João Luiz Dihl Navazo, Isabel Sousa, Antônio Augusto de |
e-Mail Address | afalcao@ic.unicamp.br |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG) |
Conference Location | Curitiba, PR, Brazil |
Date | 17-20 Oct. 2004 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2008-07-17 14:10:55 :: falcao_tree_pruning.pdf -> banon :: 2008-08-26 15:15:41 :: banon -> administrator :: 2009-08-13 20:37:23 :: administrator -> banon :: 2010-08-28 20:01:13 :: banon -> administrator :: 2022-06-20 23:33:50 :: administrator -> :: 2004 |
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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 |
Keywords | image segmentation IFT |
Abstract | The Image Foresting Transform (IFT) has been proposed for the design of image operators based on connectivity. The IFT reduces image processing problems into a minimum-cost path forest problem in a graph derived from the image. It has been successfully used for image filtering, segmentation, and analysis. In this work, we propose a novel image operator which solves segmentation by pruning trees of the forest. First, an IFT is applied to create an optimum-path forest whose roots are pixels selected inside a desired object. In this forest, the background consists of a few subtrees rooted at pixels on the object's boundary. These boundary pixels are identified and their subtrees are eliminated, such that the remaining forest defines the object. The tree pruning is an effective alternative to situations where image segmentation methods based on competing seeds fail. We present an interactive implementation of the tree-pruning technique, show several examples and discuss some experiments toward fully automatic segmentation. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2004 > Image segmentation by... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Image segmentation by... |
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/CJU2b |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/CJU2b |
Language | en |
Target File | 4400_falcao_a.pdf |
User Group | falcao_tree_pruning.pdf administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46QM2BE 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.03.00.29 9 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage 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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