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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/w9y2f
Repositorysid.inpe.br/banon/2002/11.13.11.53
Last Update2002:11.13.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/11.13.11.54
Metadata Last Update2022:06.18.19.36.01 (UTC) administrator
DOI10.1109/SIBGRA.2000.883922
Citation KeyLotufoFalcZamp:2000:FaEuDi
TitleFast Euclidean distance transform using a graph-search algorithm
Year2000
Access Date2024, May 04
Number of Files1
Size400 KiB
2. Context
Author1 Lotufo, Roberto A.
2 Falcão, Alexandre Xavier
3 Zampirolli, Francisco A.
EditorCarvalho, Paulo Cezar Pinto
Walter, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date17-20 Oct. 2000
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages269-275
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History (UTC)2008-07-17 14:10:51 :: administrator -> banon ::
2008-08-26 15:23:02 :: banon -> administrator ::
2009-08-13 20:37:03 :: administrator -> banon ::
2010-08-28 20:00:11 :: banon -> administrator ::
2022-06-18 19:36:01 :: administrator -> :: 2000
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordstree searching
Fast Euclidean distance transform
shortest path forest problem
shortest path graph-search
sequential algorithms
image processing
AbstractTwo new Euclidean distance transform algorithms are described. The algorithms are designed using a shortest path graph-search framework. The distance transform can be seen as the solution of a shortest path forest problem. Previous works have dealt with the Euclidean distance transform (EDT) and with the shortest path forest problem, but none of them have presented an EDT using the graph-search approach. The proposed algorithms are very simple and yet belong to the class of one of the most efficient sequential algorithms. The algorithms easily extend to higher dimensions.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2000 > Fast Euclidean distance...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Fast Euclidean distance...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/w9y2f
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/w9y2f
Target File269-275.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46PN6AP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/04.27.03.08 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Gramado, RS, Brazil, from October 17 to 20.
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