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		<isbn>978-85-7669-273-7</isbn>
		<citationkey>BravianoMont:1995:CoFuNo</citationkey>
		<title>Cooperation between fuzzy and nonfuzzy techniques for cytological image segmentation</title>
		<format>Impresso, On-line.</format>
		<year>1995</year>
		<numberoffiles>1</numberoffiles>
		<size>4694 KiB</size>
		<author>Braviano, Gilson,</author>
		<author>Montanvert, Annick,</author>
		<affiliation>Equipe Images Numériques et FOrmes DIScrètes du Institut Albert Bonniot</affiliation>
		<affiliation>Laboratoire de L’Informatique du Parallélisme (ENS Lyon)</affiliation>
		<editor>Lotufo, Roberto de Alencar,</editor>
		<editor>Mascarenhas, Nelson Delfino d'Ávila,</editor>
		<e-mailaddress>cintiagraziele.silva@gmail.com</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 8 (SIBGRAPI)</conferencename>
		<conferencelocation>São Carlos, SP, Brazil</conferencelocation>
		<date>25-27 Oct. 1995</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<pages>265-271</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigo</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>fuzzy techniques, techniques nonfuzzy, image segmentation.</keywords>
		<abstract>The present work describes a cooperative approach to segment pictures having unimodal histograms using fuzzy and nonfuzzy entropy. Two procedures are presented allowing the detection of entities in pictures of cells reputed to be difficult to segment.</abstract>
		<type>Imagens Médicas</type>
		<language>en</language>
		<targetfile>33 Cooperation between fuzzy.pdf</targetfile>
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