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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/QPasB
Repositorysid.inpe.br/sibgrapi@80/2007/07.20.19.33
Last Update2007:07.20.19.33.02 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2007/07.20.19.33.03
Metadata Last Update2022:06.14.00.13.32 (UTC) administrator
DOI10.1109/SIBGRAPI.2007.41
Citation KeyJorgeRuizFerrGonz:2007:WrApSe
TitleWrapper Approach to Select a Subset of Color Components for Image Segmentation with Photometric Variations
FormatPrinted, On-line.
Year2007
Access Date2024, Apr. 27
Number of Files1
Size459 KiB
2. Context
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, MG, Brazil
Date7-10 Oct. 2007
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2007-07-20 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 ::
2022-06-14 00:13:32 :: administrator -> :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
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).
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2007 > Wrapper Approach to...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Wrapper Approach to...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/QPasB
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/QPasB
Languageen
Target Filejorge-WrapperColorComponents2.pdf
User Grouplucio@cnpdia.embrapa.br
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SF8Q5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.00.14 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress 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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