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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier6qtX3pFwXQZeBBx/w65xt
Repositorysid.inpe.br/banon/2002/11.07.10.25
Last Update2002:11.06.02.00.00 administrator
Metadatasid.inpe.br/banon/2002/11.07.10.25.26
Metadata Last Update2020:02.19.02.58.51 administrator
Citation KeyZampirolliLott:2000:ClDiTr
TitleClassification of the distance transformation algorithms under the mathematical morphology approach
Year2000
DateOctober
Access Date2021, Jan. 19
Number of Files1
Size432 KiB
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Author1 Zampirolli, Francisco de Assis
2 Lottufo, Roberto de Alencar
EditorCarvalho, Paulo Cezar Pinto
Walter, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Pages292-299
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History2008-07-17 14:10:51 :: administrator -> banon ::
2008-08-26 15:23:02 :: banon -> administrator ::
2009-08-13 20:37:01 :: administrator -> banon ::
2010-08-28 20:00:11 :: banon -> administrator ::
2020-02-19 02:58:51 :: administrator -> :: 2000
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Content TypeExternal Contribution
Keywordsimage processing,distance transformation algorithm classification,mathematical morphology,binary image,distance metric,parallel algorithms,sequential raster algorithms,propagation algorithms,computer architectures, image processing.
AbstractThe distance transform (DT) is a morphological erosion of the binary image by a given structuring function, that dictates the distance metric in the transformation. There are many known algorithms and structuring function decompositions to efficiently implement a morphological erosion. Most of the erosion algorithms are classified as parallel, sequential raster (and anti-raster), and propagation. Based on this classification and decomposition, we review and classify most of the DT algorithms reported in the literature. As a result of this study, we have contributed not only to better classify and understand the diversity of the DT algorithms in the literature, but also to create a collection of efficient erosion algorithms suitable to different computer architectures.
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data URLhttp://urlib.net/rep/6qtX3pFwXQZeBBx/w65xt
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/w65xt
Target File292-299.pdf
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Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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NotesThe conference was held in Gramado, RS, Brazil, from October 17 to 20.
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