Reference TypeConference Proceedings
Citation KeyMagalhãesQueiCabr:2018:ClTeUs
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
TitleClassificação de texturas usando a métrica de centralidade closeness
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
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
Book TitleProceedings
DateOct. 29 - Nov. 1, 2018
Publisher CityPorto Alegre
PublisherSociedade Brasileira de Computação
Conference LocationFoz do Iguaçu, PR, Brazil
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.
Tertiary TypeUndergraduate Work
Size1423 KiB
Number of Files2
Target FileClassificação de Texturas Usando a Métrica de Centralidade Closeness.pdf
Last Update2018:
Metadata Last Update2020: administrator {D 2018}
Document Stagecompleted
Is the master or a copy?is the master
Document Stagenot transferred
Next Higher Units8JMKD3MGPAW/3RPADUS
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History2018-10-22 22:49:40 :: -> administrator :: 2018
2020-02-20 22:06:51 :: administrator -> :: 2018
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Access Date2020, Nov. 29