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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW4/35SATQ5
Repositorysid.inpe.br/sibgrapi@80/2009/08.18.22.08
Last Update2009:08.18.22.08.57 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2009/08.18.22.08.58
Metadata Last Update2022:06.14.00.14.04 (UTC) administrator
DOI10.1109/SIBGRAPI.2009.30
Citation KeySilvaIano:2009:ImApUn
TitleAn immune-inspired approach for unsupervised texture segmentation using wavelet packet transform
FormatPrinted, On-line.
Year2009
Access Date2024, Apr. 27
Number of Files1
Size1635 KiB
2. Context
Author1 Silva, Karinne Saraiva da
2 Iano, Yuzo
Affiliation1 Universidade Estadual de Campinas
2 Universidade Estadual de Campinas
EditorNonato, Luis Gustavo
Scharcanski, Jacob
e-Mail Addresskarinnesaraiva@yahoo.com.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date11-14 Oct. 2009
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-08-28 20:03:27 :: karinnesaraiva@yahoo.com.br -> administrator ::
2022-06-14 00:14:04 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordstexture analysis
texture segmentation
wavelet packet
ARIA
AbstractIn this paper, it is described a new unsupervised approach based on wavelet packet transform for texture images segmentation. This transform is able to decompose an image not only from the low frequency parts, but also from the middle-high frequency parts, in which there is a certain amount of texture information. After the extraction of the features, a clustering is carried out, by using an immune-inspired algorithm called ARIA (Adaptive Radius Immune Algorithm), which is capable of preserving the density information of the data and determining how many different textures (clusters) are present in the image. The performance of our methodology is compared with other methods described in literature.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2009 > An immune-inspired approach...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > An immune-inspired approach...
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/8JMKD3MGPBW4/35SATQ5
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW4/35SATQ5
Languageen
Target Filesibgrapi.pdf
User Groupkarinnesaraiva@yahoo.com.br
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJQ2S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.19.43 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 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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