Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2017:
Metadata Last Update2020: administrator
Citation KeyBelémCousJúniGuim:2017:ImCoSa
TitleImpacts of contour saliency map transformations
DateOct. 17-20, 2017
Access Date2021, Jan. 21
Number of Files1
Size1127 KiB
Context area
Author1 Belém, Felipe de Castro
2 Cousty, Jean
3 Júnior, Zenilton Kleber Gonçalves do Patrocínio
4 Guimarães, Silvio Jamil Ferzoli
Affiliation1 Pontifical Catholic University of Minas Gerais
2 Université Paris-Est
3 Pontifical Catholic University of Minas Gerais
4 Pontifical Catholic University of Minas Gerais
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeUndergraduate Work
History2017-09-12 20:54:02 :: -> administrator ::
2020-02-20 22:06:48 :: administrator -> :: 2017
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
KeywordsSaliency Map,Normalization,Hierarchical Segmentation.
Abstractn 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.
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Next Higher Units8JMKD3MGPAW/3PKCC58
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