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		<doi>10.1109/SIBGRAPI.2001.963075</doi>
		<citationkey>GiraldiStraOliv:2001:ImOrDu</citationkey>
		<title>Improving the original Dual-T-Snakes model</title>
		<year>2001</year>
		<numberoffiles>1</numberoffiles>
		<size>945 KiB</size>
		<author>Giraldi, Gilson A.,</author>
		<author>Strauss, Edilberto,</author>
		<author>Oliveira, Antônio A. F.,</author>
		<editor>Borges, Leandro Díbio,</editor>
		<editor>Wu, Shin-Ting,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI)</conferencename>
		<conferencelocation>Florianópolis, SC, Brazil</conferencelocation>
		<date>15-18 Oct. 2001</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<pages>346-353</pages>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<organization>SBC - Brazilian Computer Society</organization>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>Snakes, T-Snakes, Dual-T-Snakes, dynamic programming.</keywords>
		<abstract>The Dual-T-Snakes model plus dynamic programming (DP) techniques is an efficient methodology for boundary extraction and segmentation of 2D images. However, the original proposal of the Dual-T-Snakes suffers from difficulties for parameters choise and instabilities due to the normal force definition. Also, the proposed method to push a snake way from a local minimum is not efficient for noise images. In this paper we address these limitations. Firstly, we reduce the number of parameters without affecting the basic features of Dual-T-Snakes. Next, we propose a new normal force definition which maintains the desired features of a balloon-like one but is more stable and gives better performance. Then, we propose other methods to avoid local minima based on mesh resolution, image statistics and a new region growing technique. We demonstrate these methods for artificial and cell images. Finally, in the future works, we figure out how to apply Dual-T-Snakes plus Viterbi together with non-parametric multiscale methods.</abstract>
		<language>en</language>
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		<notes>The conference was held in Florianópolis, SC, Brazil, from October 15 to 18.</notes>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/banon/2002/12.09.10.08</url>
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