Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2018:
Metadata Last Update2020: administrator
Citation KeyMagalhãesQueiCabr:2018:ClTeUs
TitleClassificação de texturas usando a métrica de centralidade closeness
DateOct. 29 - Nov. 1, 2018
Access Date2021, Jan. 19
Number of Files2
Size1423 KiB
Context area
Author1 Magalhães, Whendell Feijó
2 Queiroz, Fabiane da Silva
3 Cabral, Raquel da Silva
Affiliation1 Universidade Federal de Alagoas - Campus Arapiraca
2 Universidade Federal de Alagoas - Centro de Ciências Agrárias
3 Universidade Federal de Alagoas - Campus Arapiraca
EditorRoss, 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
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeUndergraduate Work
History2018-10-22 22:49:40 :: -> administrator :: 2018
2020-02-20 22:06:51 :: administrator -> :: 2018
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Keywordsredes complexas, classificação de texturas, centralidade closeness.
AbstractIn 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
agreement.html 22/10/2018 19:38 1.2 KiB 
Conditions of access and use area
data URL
zipped data URL
Target FileClassificação de Texturas Usando a Métrica de Centralidade Closeness.pdf
Update Permissionnot transferred
Allied materials area
Next Higher Units8JMKD3MGPAW/3RPADUS
Notes area
Empty Fieldsaccessionnumber 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