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		<lastupdate>2017:09.12.20.54.01 sid.inpe.br/banon/2001/03.30.15.38 felipedkstro@hotmail.com</lastupdate>
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		<citationkey>BelémCousJúniGuim:2017:ImCoSa</citationkey>
		<title>Impacts of contour saliency map transformations</title>
		<format>On-line</format>
		<year>2017</year>
		<numberoffiles>1</numberoffiles>
		<size>1127 KiB</size>
		<author>Belém, Felipe de Castro,</author>
		<author>Cousty, Jean,</author>
		<author>Júnior, Zenilton Kleber Gonçalves do Patrocínio,</author>
		<author>Guimarães, Silvio Jamil Ferzoli,</author>
		<affiliation>Pontifical Catholic University of Minas Gerais</affiliation>
		<affiliation>Université Paris-Est</affiliation>
		<affiliation>Pontifical Catholic University of Minas Gerais</affiliation>
		<affiliation>Pontifical Catholic University of Minas Gerais</affiliation>
		<editor>Torchelsen, Rafael Piccin,</editor>
		<editor>Nascimento, Erickson Rangel do,</editor>
		<editor>Panozzo, Daniele,</editor>
		<editor>Liu, Zicheng,</editor>
		<editor>Farias, Mylène,</editor>
		<editor>Viera, Thales,</editor>
		<editor>Sacht, Leonardo,</editor>
		<editor>Ferreira, Nivan,</editor>
		<editor>Comba, João Luiz Dihl,</editor>
		<editor>Hirata, Nina,</editor>
		<editor>Schiavon Porto, Marcelo,</editor>
		<editor>Vital, Creto,</editor>
		<editor>Pagot, Christian Azambuja,</editor>
		<editor>Petronetto, Fabiano,</editor>
		<editor>Clua, Esteban,</editor>
		<editor>Cardeal, Flávio,</editor>
		<e-mailaddress>felipedkstro@hotmail.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 30 (SIBGRAPI)</conferencename>
		<conferencelocation>Niterói, RJ</conferencelocation>
		<date>Oct. 17-20, 2017</date>
		<booktitle>Proceedings</booktitle>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<tertiarytype>Undergraduate Work</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>Saliency Map,Normalization,Hierarchical Segmentation.</keywords>
		<abstract>n recent years, many algorithms based on hierarchical segmentation were proposed. However, there has a need to represent their obtained results. The saliency map approach is an example of algorithm which allows the visualization of the hierarchy by defining a relevance to the contours found in the image. And, in order to visualize the segmentation result, a normalization is needed. Even though the classical approaches are satisfactory, there are two major problems: (i) the normalization does not prevent oversegmentation; (ii) it is not possible to alter the normalization to achieve better results. In this paper, we have studied a normalization by a sigmoid function, we analyzed its impacts as a filtering step, and as a final (visualization) one, and we also examined how the gradient impacts on the final result in accordance with our proposal. Experimental results show that, for both gradient functions, the pre-filtering step has better results than classical approaches.</abstract>
		<language>en</language>
		<targetfile>2017_SIBGRAPI_WUW.pdf</targetfile>
		<usergroup>felipedkstro@hotmail.com</usergroup>
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