<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>sibgrapi.sid.inpe.br 802</site>
		<holdercode>{ibi 8JMKD3MGPEW34M/46T9EHH}</holdercode>
		<identifier>8JMKD3MGPAW/3S49SBP</identifier>
		<repository>sid.inpe.br/sibgrapi/2018/10.22.22.38</repository>
		<lastupdate>2018:10.22.22.49.40 sid.inpe.br/banon/2001/03.30.15.38 whendell.magalhaes@arapiraca.ufal.br</lastupdate>
		<metadatarepository>sid.inpe.br/sibgrapi/2018/10.22.22.38.53</metadatarepository>
		<metadatalastupdate>2022:05.18.22.18.34 sid.inpe.br/banon/2001/03.30.15.38 administrator {D 2018}</metadatalastupdate>
		<citationkey>MagalhãesQueiCabr:2018:ClTeUs</citationkey>
		<title>Classificação de texturas usando a métrica de centralidade closeness</title>
		<format>On-line</format>
		<year>2018</year>
		<numberoffiles>1</numberoffiles>
		<size>712 KiB</size>
		<author>Magalhães, Whendell Feijó,</author>
		<author>Queiroz, Fabiane da Silva,</author>
		<author>Cabral, Raquel da Silva,</author>
		<affiliation>Universidade Federal de Alagoas - Campus Arapiraca</affiliation>
		<affiliation>Universidade Federal de Alagoas - Centro de Ciências Agrárias</affiliation>
		<affiliation>Universidade Federal de Alagoas - Campus Arapiraca</affiliation>
		<editor>Ross, Arun,</editor>
		<editor>Gastal, Eduardo S. L.,</editor>
		<editor>Jorge, Joaquim A.,</editor>
		<editor>Queiroz, Ricardo L. de,</editor>
		<editor>Minetto, Rodrigo,</editor>
		<editor>Sarkar, Sudeep,</editor>
		<editor>Papa, João Paulo,</editor>
		<editor>Oliveira, Manuel M.,</editor>
		<editor>Arbeláez, Pablo,</editor>
		<editor>Mery, Domingo,</editor>
		<editor>Oliveira, Maria Cristina Ferreira de,</editor>
		<editor>Spina, Thiago Vallin,</editor>
		<editor>Mendes, Caroline Mazetto,</editor>
		<editor>Costa, Henrique Sérgio Gutierrez,</editor>
		<editor>Mejail, Marta Estela,</editor>
		<editor>Geus, Klaus de,</editor>
		<editor>Scheer, Sergio,</editor>
		<e-mailaddress>whendell.magalhaes@arapiraca.ufal.br</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 31 (SIBGRAPI)</conferencename>
		<conferencelocation>Foz do Iguaçu, PR, Brazil</conferencelocation>
		<date>29 Oct.-1 Nov. 2018</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Undergraduate Work</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>redes complexas, classificação de texturas, centralidade closeness.</keywords>
		<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.</abstract>
		<language>pt</language>
		<targetfile>Classificação de Texturas Usando a Métrica de Centralidade Closeness.pdf</targetfile>
		<usergroup>whendell.magalhaes@arapiraca.ufal.br</usergroup>
		<visibility>shown</visibility>
		<documentstage>not transferred</documentstage>
		<mirrorrepository>sid.inpe.br/banon/2001/03.30.15.38.24</mirrorrepository>
		<nexthigherunit>8JMKD3MGPAW/3RPADUS</nexthigherunit>
		<citingitemlist>sid.inpe.br/sibgrapi/2018/09.03.20.37 9</citingitemlist>
		<hostcollection>sid.inpe.br/banon/2001/03.30.15.38</hostcollection>
		<agreement>agreement.html .htaccess .htaccess2</agreement>
		<lasthostcollection>sid.inpe.br/banon/2001/03.30.15.38</lasthostcollection>
		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi/2018/10.22.22.38</url>
	</metadata>
</metadatalist>