DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGY

Detalhes bibliográficos
Autor(a) principal: Stroppa, Raquel Grando [UNESP]
Data de Publicação: 2010
Outros Autores: Leonardi, Fabricio [UNESP], Silva, Erivaldo Antonio da [UNESP], Baralt, J., Callaos, N., Chu, H. W., Ferrer, J., Lesso, W., Savoie, M. J.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/196092
Resumo: The cartographic products of Brazil are around 30 years outdated. The present work describes an alternative to diminish this problem by using the coupling of products of Remote Sensing and techniques of mathematical morphology (MM). The images of the Remote Sensing can be considered as a source of data for studies in many areas, such as the cartography, urban planning, agriculture and environment. Such use can be justified by its rapidity, efficiency, regularity in the attainment of data and low cost. In addition, an important component is the technique of Digital Processing of Imagens (DPI). In this work it was used MM theory for extraction of draining and new calculation of the reservoir of the hydroelectric power plant, assigned Mascarenhas de Moraes, located in the Rio Grande River in Minas Gerais State, Brazil. The obtained results are promising and evidenced the great potential of mathematical morphology in the area of cartography.
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spelling DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGYMathematical MorphologyCartographic FeaturesUpdateDigital Image ProcessingRemote SensingThe cartographic products of Brazil are around 30 years outdated. The present work describes an alternative to diminish this problem by using the coupling of products of Remote Sensing and techniques of mathematical morphology (MM). The images of the Remote Sensing can be considered as a source of data for studies in many areas, such as the cartography, urban planning, agriculture and environment. Such use can be justified by its rapidity, efficiency, regularity in the attainment of data and low cost. In addition, an important component is the technique of Digital Processing of Imagens (DPI). In this work it was used MM theory for extraction of draining and new calculation of the reservoir of the hydroelectric power plant, assigned Mascarenhas de Moraes, located in the Rio Grande River in Minas Gerais State, Brazil. The obtained results are promising and evidenced the great potential of mathematical morphology in the area of cartography.UNESP, FCT, Dept Cartog, Rua Roberto Simonsen 305,Campus Univ, BR-19060900 Presidente Prudente, SP, BrazilUNESP, FCT, Dept Cartog, Rua Roberto Simonsen 305,Campus Univ, BR-19060900 Presidente Prudente, SP, BrazilInt Inst Informatics & SystemicsUniversidade Estadual Paulista (Unesp)Stroppa, Raquel Grando [UNESP]Leonardi, Fabricio [UNESP]Silva, Erivaldo Antonio da [UNESP]Baralt, J.Callaos, N.Chu, H. W.Ferrer, J.Lesso, W.Savoie, M. J.2020-12-10T19:33:04Z2020-12-10T19:33:04Z2010-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject99-101Imeti 2010: 3rd International Multi-conference On Engineering And Technological Innovation, Vol Ii (post-conference Edition). Orlando: Int Inst Informatics & Systemics, p. 99-101, 2010.http://hdl.handle.net/11449/196092WOS:000391342900020Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengImeti 2010: 3rd International Multi-conference On Engineering And Technological Innovation, Vol Ii (post-conference Edition)info:eu-repo/semantics/openAccess2021-10-23T03:13:01Zoai:repositorio.unesp.br:11449/196092Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T03:13:01Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGY
title DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGY
spellingShingle DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGY
Stroppa, Raquel Grando [UNESP]
Mathematical Morphology
Cartographic Features
Update
Digital Image Processing
Remote Sensing
title_short DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGY
title_full DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGY
title_fullStr DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGY
title_full_unstemmed DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGY
title_sort DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGY
author Stroppa, Raquel Grando [UNESP]
author_facet Stroppa, Raquel Grando [UNESP]
Leonardi, Fabricio [UNESP]
Silva, Erivaldo Antonio da [UNESP]
Baralt, J.
Callaos, N.
Chu, H. W.
Ferrer, J.
Lesso, W.
Savoie, M. J.
author_role author
author2 Leonardi, Fabricio [UNESP]
Silva, Erivaldo Antonio da [UNESP]
Baralt, J.
Callaos, N.
Chu, H. W.
Ferrer, J.
Lesso, W.
Savoie, M. J.
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Stroppa, Raquel Grando [UNESP]
Leonardi, Fabricio [UNESP]
Silva, Erivaldo Antonio da [UNESP]
Baralt, J.
Callaos, N.
Chu, H. W.
Ferrer, J.
Lesso, W.
Savoie, M. J.
dc.subject.por.fl_str_mv Mathematical Morphology
Cartographic Features
Update
Digital Image Processing
Remote Sensing
topic Mathematical Morphology
Cartographic Features
Update
Digital Image Processing
Remote Sensing
description The cartographic products of Brazil are around 30 years outdated. The present work describes an alternative to diminish this problem by using the coupling of products of Remote Sensing and techniques of mathematical morphology (MM). The images of the Remote Sensing can be considered as a source of data for studies in many areas, such as the cartography, urban planning, agriculture and environment. Such use can be justified by its rapidity, efficiency, regularity in the attainment of data and low cost. In addition, an important component is the technique of Digital Processing of Imagens (DPI). In this work it was used MM theory for extraction of draining and new calculation of the reservoir of the hydroelectric power plant, assigned Mascarenhas de Moraes, located in the Rio Grande River in Minas Gerais State, Brazil. The obtained results are promising and evidenced the great potential of mathematical morphology in the area of cartography.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01
2020-12-10T19:33:04Z
2020-12-10T19:33:04Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Imeti 2010: 3rd International Multi-conference On Engineering And Technological Innovation, Vol Ii (post-conference Edition). Orlando: Int Inst Informatics & Systemics, p. 99-101, 2010.
http://hdl.handle.net/11449/196092
WOS:000391342900020
identifier_str_mv Imeti 2010: 3rd International Multi-conference On Engineering And Technological Innovation, Vol Ii (post-conference Edition). Orlando: Int Inst Informatics & Systemics, p. 99-101, 2010.
WOS:000391342900020
url http://hdl.handle.net/11449/196092
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Imeti 2010: 3rd International Multi-conference On Engineering And Technological Innovation, Vol Ii (post-conference Edition)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 99-101
dc.publisher.none.fl_str_mv Int Inst Informatics & Systemics
publisher.none.fl_str_mv Int Inst Informatics & Systemics
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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