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		<doi>10.1109/SIBGRA.2002.1167153</doi>
		<citationkey>GuimaraesLeitCoupAra˙:2002:MuDiPa</citationkey>
		<title>A multi-scale, directional and parametrized transition detection algorithm based on morphological residues</title>
		<year>2002</year>
		<numberoffiles>1</numberoffiles>
		<size>404 KiB</size>
		<author>Guimaraes, Silvio Jamil Ferzoli,</author>
		<author>Leite, Neurimar J.,</author>
		<author>Couprie, Michel,</author>
		<author>Ara˙jo, Arnaldo de Albuquerque,</author>
		<editor>Gonšalves, Luiz Marcos Garcia,</editor>
		<editor>Musse, Soraia Raupp,</editor>
		<editor>Comba, JoŃo Luiz Dihl,</editor>
		<editor>Giraldi, Gilson,</editor>
		<editor>Dreux, Marcelo,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI)</conferencename>
		<conferencelocation>Fortaleza, CE, Brazil</conferencelocation>
		<date>10-10 Oct. 2002</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<organization>SBC - Brazilian Computer Society</organization>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<abstract>The boundary identification represents an interesting and difficult problem in image process-ing, mainly if two at zones are separated by a fuzzy region (gradual transition). The most common operators work very well for sharp edges, but fail for gradual transitions. In this work, we have done a characterization for multi-scale gradient by a study of the opening residues. This characterization is useful to identify and classify sharp and gradual transitions between two consecutive at zones according to a size criterion.</abstract>
		<language>en</language>
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		<notes>The conference was held in Fortaleza, CE, Brazil, from October 7 to 10.</notes>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/banon/2002/10.25.10.07</url>
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