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Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Identifier6qtX3pFwXQZG2LgkFdY/LQstC
Repositorysid.inpe.br/sibgrapi@80/2006/07.22.18.59
Last Update2006:07.22.18.59.34 administrator
Metadatasid.inpe.br/sibgrapi@80/2006/07.22.18.59.36
Metadata Last Update2020:02.19.03.17.44 administrator
Citation KeyLeiteDori:2006:ScMoTo
TitleA scaled morphological toggle operator for image transformations
FormatOn-line
Year2006
Date8-11 Oct. 2006
Access Date2020, Dec. 03
Number of Files1
Size738 KiB
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Author1 Leite, Neucimar Jerônimo
2 Dorini, Leyza Elmeri Baldo
Affiliation1 Unicamp - Universidade Estadual de Campinas
2 Unicamp - Universidade Estadual de Campinas
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
e-Mail Addressleyza.dorini@gmail.com
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
Conference LocationManaus
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
History2006-07-22 18:59:36 :: leyza -> banon ::
2006-08-30 21:54:03 :: banon -> leyza ::
2008-07-17 14:11:03 :: leyza -> administrator ::
2009-08-13 20:38:11 :: administrator -> banon ::
2010-08-28 20:02:24 :: banon -> administrator ::
2020-02-19 03:17:44 :: administrator -> :: 2006
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Is the master or a copy?is the master
Document Stagecompleted
Transferable1
Content TypeExternal Contribution
Tertiary TypeFull Paper
Keywordsscale-space, mathematical morphology, toggle operator.
AbstractScale dependent signal representations have proved to be useful in several image processing applications. In this paper, we define a toggle operator for binarization/segmentation purposes based on scaled versions of an image transformed by morphological operations. The toggle decision rule, determining the new value of a pixel, considers local spatial information, in contrast to other multiscale approaches that takes into account mainly global information (e.g., the scale signal under study). We show that the proposed operator can identify significant image extrema information in such a way that when it is used in a binarization process yields very good segmentation and filtering results. Our algorithm is validated against known threshold-based segmentation methods using images of different classes and subjected to different lighting conditions.
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Languageen
Target Filedorini-ScaleMophToggle.pdf
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Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark mirrorrepository nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume

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