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Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Repositorysid.inpe.br/sibgrapi@80/2007/07.20.19.33
Last Update2007:07.20.19.33.02 administrator
Metadatasid.inpe.br/sibgrapi@80/2007/07.20.19.33.03
Metadata Last Update2020:02.19.03.06.19 administrator
Citation KeyJorgeRuizFerrGonz:2007:WrApSe
TitleWrapper Approach to Select a Subset of Color Components for Image Segmentation with Photometric Variations
FormatPrinted, On-line.
Year2007
DateOct. 7-10, 2007
Access Date2020, Dec. 01
Number of Files1
Size459 KiB
Context area
Author1 Jorge, Lúcio André de Castro
2 Ruiz, Henrique de Souza
3 Ferreira, Ednaldo José
4 Gonzaga, Adilson
Affiliation1 Embrapa Agricultural Instrumentation
2 University of São Paulo
3 Embrapa Agricultural Instrumentation
4 University of São Paulo
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
History2007-07-20 19:33:03 :: lucio@cnpdia.embrapa.br -> administrator ::
2007-08-02 21:17:26 :: administrator -> lucio@cnpdia.embrapa.br ::
2008-07-17 14:09:42 :: lucio@cnpdia.embrapa.br -> administrator ::
2009-08-13 20:38:23 :: administrator -> banon ::
2010-08-28 20:02:27 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Document Stagecompleted
Transferable1
Content TypeExternal Contribution
Tertiary TypeFull Paper
KeywordsWrapper, Color, Color Segmentation, Feature Selection.
AbstractThe choice of a color model is of great importance for many computer vision algorithms. However, there are many color models available; the inherent difficulty is how to automatically select a single color model or, alternatively, a subset of features from several color models producing the best result for a particular task. To achieve proper colors components selection, in this paper, it was proposed the use of wrapper method, a data mining approach, to obtain repeatability and distinctiveness in segmentation process. The result was compared with neural network method and yields good feature discrimination. The method was verified experimentally with 108 images from Amsterdam Library of Objects Images (ALOI) and 10 aerial images with different photometric conditions. Furthermore, it has shown that the color model selection scheme provides a proper balance between color invariance (repeatability) and discriminative power (distinctiveness).
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Languageen
Target Filejorge-WrapperColorComponents2.pdf
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Mirror Repositorydpi.inpe.br/banon-pc2@80/2006/08.30.19.27
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress group holdercode isbn issn label lineage mark 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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