<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>sibgrapi.sid.inpe.br 802</site>
		<identifier>8JMKD3MGPBW34M/3DQ5R5H</identifier>
		<repository>sid.inpe.br/sibgrapi/2013/03.26.01.28</repository>
		<lastupdate>2013:03.26.01.28.13 sid.inpe.br/banon/2001/03.30.15.38 cintiagraziele.silva@gmail.com</lastupdate>
		<metadatarepository>sid.inpe.br/sibgrapi/2013/03.26.01.28.13</metadatarepository>
		<metadatalastupdate>2013:04.05.17.23.35 sid.inpe.br/banon/2001/03.30.15.38 cintiagraziele.silva@gmail.com {D 1996}</metadatalastupdate>
		<isbn>85-244-0103-6</isbn>
		<citationkey>SantosBorg:1996:InHiSo</citationkey>
		<title>Inspeção visual automática por cor: indexação por histogramas para soluções em tempo real</title>
		<format>Impresso, On-line.</format>
		<year>1996</year>
		<numberoffiles>1</numberoffiles>
		<size>44 KiB</size>
		<author>Santos, Rodrigo Newton Ravedutti,</author>
		<author>Borges, Díbio Leandro,</author>
		<affiliation>Centro Federal de Educação Tecnológica do Paraná (CEFET-PR)</affiliation>
		<affiliation>Centro Federal de Educação Tecnológica do Paraná (CEFET-PR)</affiliation>
		<editor>Velho, Luiz,</editor>
		<editor>Albuquerque, Arnaldo de,</editor>
		<editor>Lotufo, Roberto de Alencar,</editor>
		<e-mailaddress>cintiagraziele.silva@gmail.com</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 9 (SIBGRAPI)</conferencename>
		<conferencelocation>Caxambu</conferencelocation>
		<date>29 out. - 1 nov. 1996</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<pages>349-350</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Comunicação Técnica</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>indexação por histogramas, inspeção visual automática por cor.</keywords>
		<abstract>This short communication presents a solution for using color in an effective way to inspect objects automatically. Color is used as the primary information for the task, and it is represented initially by the Hue, Saturation, and Intensity (HIS) variables. It is proposed that color indexation algorithms can provide a real-time solution for demanding visual inspection tasks, such as classification of agricultural products for quality evaluation.</abstract>
		<type>Geral (Comunicações)</type>
		<language>pt</language>
		<targetfile>11 Inspecao visual automatica.pdf</targetfile>
		<usergroup>cintiagraziele.silva@gmail.com</usergroup>
		<visibility>shown</visibility>
		<mirrorrepository>sid.inpe.br/sibgrapi@80/2007/08.02.16.22</mirrorrepository>
		<hostcollection>sid.inpe.br/banon/2001/03.30.15.38</hostcollection>
		<username>banon</username>
		<lasthostcollection>sid.inpe.br/banon/2001/03.30.15.38</lasthostcollection>
		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi/2013/03.26.01.28</url>
	</metadata>
</metadatalist>