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Reference TypeConference Proceedings
Identifier8JMKD3MGPBW34M/3EF6B9E
Repositorysid.inpe.br/sibgrapi/2013/07.14.21.20
Metadatasid.inpe.br/sibgrapi/2013/07.14.21.20.45
Sitesibgrapi.sid.inpe.br
Citation KeyAlvesMoriCastHash:2013:ExNuRe
Author1 Alves, Wonder Alexandre Luz
2 Morimitsu, Alexandre
3 Castro, Joel Sánchez
4 Hashimoto, Ronaldo Fumio
Affiliation1 Institute of Mathematics and Statistics, University of São Paulo
2 Institute of Mathematics and Statistics, University of São Paulo
3 Institute of Mathematics and Statistics, University of São Paulo
4 Institute of Mathematics and Statistics, University of São Paulo
TitleExtraction of numerical residues in families of levelings
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Year2013
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
Book TitleProceedings
DateAug. 5-8, 2013
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationArequipa, Peru
Keywordsresidual morphological operator, ultimate attribute opening, ultimate attribute closing, ultimate attribute leveling.
AbstractThis work introduces a residual operator called ultimate attribute leveling. We also present an efficient algorithm for ultimate attribute leveling computation by using a structure called tree of shapes. Our algorithm for computating ultimate attribute leveling is based on the fact (proved in this work) that levelings can be obtained by pruning nodes from the tree of shapes. This is a novel result, since so far it is known that levelings can be obtained from component trees. Finally, we propose the use of ultimate attribute leveling with shape information to extract contrast using a priori knowledge of an application. Experimental results applied to text location show the potentiality of using ultimate attribute leveling with shape information for solving problems in image processing area.
Languageen
Tertiary TypeFull Paper
FormatOn-line.
Size2375 KiB
Number of Files1
Target Filepaper_revisao_v4.pdf
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e-Mail Addresswonder@ime.usp.br
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History2013-07-14 21:20:45 :: wonder@ime.usp.br -> administrator ::
2020-02-19 03:09:22 :: administrator -> :: 2013
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Access Date2020, Nov. 24

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