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		<identifier>8JMKD3MGPBW34M/3DJ9ACH</identifier>
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		<site>sibgrapi.sid.inpe.br 802</site>
		<isbn>978-85-7669-273-7</isbn>
		<citationkey>ConciCamp:1995:CaFrDi</citationkey>
		<author>Conci, Aura,</author>
		<author>Campos, Claudenize F. J.,</author>
		<affiliation>Pós-Graduação em Computação Aplicada (CAA) da Universidade Federal do Fluminense (UFF)</affiliation>
		<affiliation>Departamento de Engenharia Mecânica da Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)</affiliation>
		<title>Can fractal dimension be used in textile imperfection identification?</title>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 8 (SIBGRAPI)</conferencename>
		<year>1995</year>
		<editor>Lotufo, Roberto de Alencar,</editor>
		<editor>Mascarenhas, Nelson Delfino d'Ávila,</editor>
		<booktitle>Anais</booktitle>
		<date>25 - 27 out. 1995</date>
		<publisheraddress>Porto Alegre</publisheraddress>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<conferencelocation>São Carlos</conferencelocation>
		<keywords>Fractal dimension, texture classification, shape analysis, segmentation.</keywords>
		<abstract>Fractal dimension (FD) is an interesting feature proposed to characterize roughness in image. This feature has been used in texture classification, segmentation, shape analysis and other problems. An approach based on FD to estimate differences between a picture and its original pattern is proposed in this note. Experiments on real textile failings are presented.</abstract>
		<pages>127-133</pages>
		<language>en</language>
		<type>Segmentação de Imagens</type>
		<tertiarytype>Artigo</tertiarytype>
		<format>Impresso, On-line.</format>
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		<targetfile>16 Can fractal dimension.pdf</targetfile>
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