1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW4/35SATQ5 |
Repository | sid.inpe.br/sibgrapi@80/2009/08.18.22.08 |
Last Update | 2009:08.18.22.08.57 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi@80/2009/08.18.22.08.58 |
Metadata Last Update | 2022:06.14.00.14.04 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2009.30 |
Citation Key | SilvaIano:2009:ImApUn |
Title | An immune-inspired approach for unsupervised texture segmentation using wavelet packet transform |
Format | Printed, On-line. |
Year | 2009 |
Access Date | 2024, Apr. 27 |
Number of Files | 1 |
Size | 1635 KiB |
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2. Context | |
Author | 1 Silva, Karinne Saraiva da 2 Iano, Yuzo |
Affiliation | 1 Universidade Estadual de Campinas 2 Universidade Estadual de Campinas |
Editor | Nonato, Luis Gustavo Scharcanski, Jacob |
e-Mail Address | karinnesaraiva@yahoo.com.br |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI) |
Conference Location | Rio de Janeiro, RJ, Brazil |
Date | 11-14 Oct. 2009 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2010-08-28 20:03:27 :: karinnesaraiva@yahoo.com.br -> administrator :: 2022-06-14 00:14:04 :: administrator -> :: 2009 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | texture analysis texture segmentation wavelet packet ARIA |
Abstract | In 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2009 > An immune-inspired approach... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > An immune-inspired approach... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW4/35SATQ5 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW4/35SATQ5 |
Language | en |
Target File | sibgrapi.pdf |
User Group | karinnesaraiva@yahoo.com.br |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46SJQ2S 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.19.43 3 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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