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Reference TypeConference Paper (Conference Proceedings)
Last Update2013:
Metadata Last Update2020: administrator
Citation KeyAlvesMoriCastHash:2013:ExNuRe
TitleExtraction of numerical residues in families of levelings
DateAug. 5-8, 2013
Access Date2021, Jan. 19
Number of Files1
Size2375 KiB
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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
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Conference LocationArequipa, Peru
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2013-07-14 21:20:45 :: -> administrator ::
2020-02-19 03:09:22 :: administrator -> :: 2013
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Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
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.
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