Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPAW/3S49SBP |
Repository | sid.inpe.br/sibgrapi/2018/10.22.22.38 |
Last Update | 2018:10.22.22.49.40 whendell.magalhaes@arapiraca.ufal.br |
Metadata | sid.inpe.br/sibgrapi/2018/10.22.22.38.53 |
Metadata Last Update | 2020:02.20.22.06.51 administrator |
Citation Key | MagalhãesQueiCabr:2018:ClTeUs |
Title | Classificação de texturas usando a métrica de centralidade closeness  |
Format | On-line |
Year | 2018 |
Date | Oct. 29 - Nov. 1, 2018 |
Access Date | 2021, Jan. 19 |
Number of Files | 2 |
Size | 1423 KiB |
Context area | |
Author | 1 Magalhães, Whendell Feijó 2 Queiroz, Fabiane da Silva 3 Cabral, Raquel da Silva |
Affiliation | 1 Universidade Federal de Alagoas - Campus Arapiraca 2 Universidade Federal de Alagoas - Centro de Ciências Agrárias 3 Universidade Federal de Alagoas - Campus Arapiraca |
Editor | Ross, Arun Gastal, Eduardo S. L. Jorge, Joaquim A. Queiroz, Ricardo L. de Minetto, Rodrigo Sarkar, Sudeep Papa, João Paulo Oliveira, Manuel M. Arbeláez, Pablo Mery, Domingo Oliveira, Maria Cristina Ferreira de Spina, Thiago Vallin Mendes, Caroline Mazetto Costa, Henrique Sérgio Gutierrez Mejail, Marta Estela Geus, Klaus de Scheer, Sergio |
e-Mail Address | whendell.magalhaes@arapiraca.ufal.br |
Conference Name | Conference on Graphics, Patterns and Images, 31 (SIBGRAPI) |
Conference Location | Foz do Iguaçu, PR, Brazil |
Book Title | Proceedings |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Tertiary Type | Undergraduate Work |
History | 2018-10-22 22:49:40 :: whendell.magalhaes@arapiraca.ufal.br -> administrator :: 2018 2020-02-20 22:06:51 :: administrator -> :: 2018 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | redes complexas, classificação de texturas, centralidade closeness. |
Abstract | In this paper, we propose a method for automatic description and classification of image texture. The images are modeled as weighted directed graphs. We use the centrality measure closeness and in-degree to generate a feature vector that describes the texture information. To validate the method, we train a k- Nearest Neighbors classifier and compare the obtained results with the Co-occurrence Matrix and Local Binary Patterns texture description techniques. For the experiments, we use the public dataset, KTH-TIPS. The accuracy of the proposed method is 95,52% that overcome the compared techniques. |
source Directory Content | Classificação de Texturas Usando a Métrica de Centralidade Closeness.pdf | 22/10/2018 19:38 | 711.4 KiB | |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPAW/3S49SBP |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3S49SBP |
Language | pt |
Target File | Classificação de Texturas Usando a Métrica de Centralidade Closeness.pdf |
User Group | whendell.magalhaes@arapiraca.ufal.br |
Visibility | shown |
Update Permission | not transferred |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3RPADUS |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition 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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