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		<isbn>85-244-0103-6</isbn>
		<citationkey>AndradeBertEverAraú:1996:CaBaMe</citationkey>
		<title>Segmentation of ceramical micrographies by flooding simulation: a catchment basins merging algorithm</title>
		<format>Impresso, On-line.</format>
		<year>1996</year>
		<numberoffiles>1</numberoffiles>
		<size>423 KiB</size>
		<author>Andrade, Marcos Carneiro de,</author>
		<author>Bertrand, Gilles,</author>
		<author>Everat, Jean Christophe,</author>
		<author>Araújo, Arnaldo de Albuquerque,</author>
		<affiliation>Centro de Desenvolvimento da Tecnologia Nuclear (CDTN)</affiliation>
		<affiliation>Escole Supérieure d’ Ingénieurs en Electrotechnique et Electronique (ESIEE)</affiliation>
		<affiliation>Escole Supérieure d’ Ingénieurs en Electrotechnique et Electronique (ESIEE)</affiliation>
		<affiliation>Departamento de Ciência da Computação (DCC) da Universidade Federal de Minas Gerais (UFMG)</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, MG, Brazil</conferencelocation>
		<date>29 Oct.-1 Nov. 1996</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<pages>355-356</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Comunicação Técnica</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>Melting algorithm, automation of image segmentation, watersheds.</keywords>
		<abstract>This work addresses a catchment basins merging algorithm developed to automatize the segmentation of ceramical images. The proposed algorithm, which is a modification of the watershed algorithm, employs two parameters to control the catchment basins merging: a depth criterium and an area criterium. This solution suppresses the characteristic over-segmentation of the flooding simulation algorithms enabling the direct image segmentation. There is no need of a previous pre-processing step. It is shown that this solution produces excellent segmentation results.</abstract>
		<type>Geral (Comunicações)</type>
		<language>en</language>
		<targetfile>14 Segmentation of ceramical.pdf</targetfile>
		<usergroup>cintiagraziele.silva@gmail.com</usergroup>
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