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		<isbn>978-85-7669-270-6</isbn>
		<citationkey>Costa:1992:ApImAn</citationkey>
		<author>Costa, Luciano da Fontoura,</author>
		<affiliation>Instituto de Física e Química de São Carlos (IFQSC) da Universidade de São Paulo (USP)</affiliation>
		<title>Applying image analysis techniques to optimize the production of cork stoppers</title>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 5 (SIBGRAPI)</conferencename>
		<year>1992</year>
		<editor>Câmara, Gilberto,</editor>
		<editor>Gomes, Jonas de Miranda,</editor>
		<volume>2</volume>
		<booktitle>Anais</booktitle>
		<date>10 - 12 nov. 1992</date>
		<publisheraddress>Porto Alegre</publisheraddress>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<conferencelocation>Águas de Lindóia</conferencelocation>
		<keywords>image analysis techniques, production of cork stoppers.</keywords>
		<abstract>This paper presents how image analysis techniques, namely a simple edge element detector and an effective digital straight line segment detection strategy, can be applied to produce from images of cork sheets information about texture to be considered by a mechanic actuation system in order to best position the sheets for sectioning. The paper also briefly discusses how these techniques can be implemented into transputer networks and presents a complete illustrative example.</abstract>
		<pages>13-16</pages>
		<language>en</language>
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