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		<citationkey>PradoMascSuaz:1997:IdCéAt</citationkey>
		<title>Identificação de células ativas e inativas de penicillium chrysogenum por técnicas de reconhecimento de padrões</title>
		<year>1997</year>
		<numberoffiles>1</numberoffiles>
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		<author>Prado, Mário Paiva M. F. do,</author>
		<author>Mascarenhas, Nelson Delfino d'Ávila,</author>
		<author>Suazo, Cláudio Alberto Torres,</author>
		<editor>Figueiredo, Luiz Henrique de,</editor>
		<editor>Netto, Marcio Lobo,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 10 (SIBGRAPI)</conferencename>
		<conferencelocation>Campos de Jordão, SP, Brazil</conferencelocation>
		<date>Oct. 1997</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<organization>SBC - Sociedade Brasileira de Computação; USP - Universidade de São Paulo</organization>
		<transferableflag>1</transferableflag>
		<abstract>Despite the fact that filamentous fungi are often used in industrial fermentation processes, their growth and differentiation are not yet understood, since their biomass is structured and therefore it is difficult to be described and quantized. The lack of appropriate tools may delay the optimization and control of the fermentation. The objective of this work is to develop this type of tool, based on digital image processing, particularly in the area of statistical pattern recognition.</abstract>
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		<notes>The conference was held in Campos de Jordão, SP, Brazil, from October 13 to 16.</notes>
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