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		<citationkey>GiraldiGonc:1999:DuMoFr</citationkey>
		<title>Dual-Snake Model in the Framework of Simplicial Domain Decomposition</title>
		<year>1999</year>
		<numberoffiles>3</numberoffiles>
		<size>46 KiB</size>
		<author>Giraldi, Gilson A.,</author>
		<author>Goncalves, Luiz M. G.,</author>
		<author>Antonio A. F. Oliveira,</author>
		<editor>Stolfi, Jorge,</editor>
		<editor>Tozzi, Clésio Luis,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 12 (SIBGRAPI)</conferencename>
		<conferencelocation>Campinas, SP, Brazil</conferencelocation>
		<date>17-20 Oct. 1999</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Technical Poster</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>dual-snake, framework, decomposition</keywords>
		<abstract>The original proposal of Active Contour Models, also called snakes, in the field of image segmentation and computer vision, suffers from the strong sensitivity to the initial contour position. The Dual-Snake model is an approach to relieve this problem by using two contours: one contour which contracts from outside the target and another one which expands from inside as a balanced technique with the ability to reject local minima. In this work we propose to embed the dual contour approach in a simplicial domain decomposition framework to generalize and to extend it to 3D imagens.</abstract>
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