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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/wiNMp
Repositorysid.inpe.br/banon/2002/11.29.11.39
Last Update2002:11.14.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/11.29.11.39.40
Metadata Last Update2022:06.14.00.12.20 (UTC) administrator
DOI10.1109/SIBGRAPI.2001.963042
Citation KeyConciNune:2001:MuImAn
TitleMulti-bands image analysis using local fractal dimension
Year2001
Access Date2024, Apr. 28
Number of Files1
Size925 KiB
2. Context
Author1 Conci, Aura
2 Nunes, Eldman de Oliveira
EditorBorges, Leandro Díbio
Wu, Shin-Ting
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI)
Conference LocationFlorianópolis, SC, Brazil
Date15-18 Oct. 2001
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages91-98
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History (UTC)2008-07-17 14:10:52 :: administrator -> banon ::
2008-08-26 15:22:02 :: banon -> administrator ::
2009-08-13 20:37:08 :: administrator -> banon ::
2010-08-28 20:00:12 :: banon -> administrator ::
2022-06-14 00:12:20 :: administrator -> :: 2001
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordslocal fractal dimension
texture analysis
multi-bands images
multispectral bands
AbstractAn important application of fractals is image texture analysis. The main aspect of fractal geometry used in this application is the concept of fractal dimensions to characterize the texture-scaling behavior. A new idea is presented here: the use of fractals of texture identification in multiband image analysis. This is not a simple extension of the usual characterization of multifractal from its local dimension in gray-level images. It is related to examine the interrelationship among the image representation in bands. Moreover, each band can be seen as a set in the 3D space, wich means that its fractal dimension may present results between 2 and 3. Consequently if two bands are considered in one gathering, their structure is a set in the 4D space and its fractal dimension may present results between 2 and 4. For multi-bands image the fractal dimension upper bound can be even larger. In this work, two propositions to handle the multi-band combination are presented. Both defined for whatever combination of bands. As far as we know, no similar approach has been considered until now.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2001 > Multi-bands image analysis...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Multi-bands image analysis...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/wiNMp
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/wiNMp
Languageen
Target File91-98.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46Q6TJ5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/04.29.19.35 8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Florianópolis, SC, Brazil, from October 15 to 18.
Empty Fieldsaffiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress format group isbn issn label lineage mark mirrorrepository nextedition numberofvolumes orcid 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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