Extração automatica de segmentos lineares de rodovias em imagens de resoluções variadas

Detalhes bibliográficos
Autor(a) principal: Ishibashi, Regina [UNESP]
Data de Publicação: 2009
Outros Autores: Dal Poz, Aluir Porfírio [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://ojs.c3sl.ufpr.br/ojs2/index.php/bcg/article/view/15503
http://hdl.handle.net/11449/6710
Resumo: In this paper a methodology for automatic extraction of road segments from images with different resolutions (low, middle and high resolution) is presented. It is based on a generalized concept of lines in digital images, by which lines can be described by the centerlines of two parallel edges. In the specific case of low resolution images, where roads are manifested as entities of 1 or 2 pixels wide, the proposed methodology combines an automatic image enhancement operation with the following strategies: automatic selection of the hysteresis thresholds and the Gaussian scale factor; line length thresholding; and polygonization. In medium and high resolution images roads manifest as narrow and elongated ribbons and, consequently, the extraction goal becomes the road centerlines. In this case, it is not necessary to apply the previous enhancement step used to enhance roads in low resolution images. The results obtained in the experimental evaluation satisfied all criteria established for the efficient extraction of road segments from different resolution images, providing satisfactory results in a completely automatic way.
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spelling Extração automatica de segmentos lineares de rodovias em imagens de resoluções variadasAutomatic road segment extraction from images with different resolutionsAutomationPhotogrammetryFeature ExtractionLine FeaturesParallel EdgesRoad FeaturesIn this paper a methodology for automatic extraction of road segments from images with different resolutions (low, middle and high resolution) is presented. It is based on a generalized concept of lines in digital images, by which lines can be described by the centerlines of two parallel edges. In the specific case of low resolution images, where roads are manifested as entities of 1 or 2 pixels wide, the proposed methodology combines an automatic image enhancement operation with the following strategies: automatic selection of the hysteresis thresholds and the Gaussian scale factor; line length thresholding; and polygonization. In medium and high resolution images roads manifest as narrow and elongated ribbons and, consequently, the extraction goal becomes the road centerlines. In this case, it is not necessary to apply the previous enhancement step used to enhance roads in low resolution images. The results obtained in the experimental evaluation satisfied all criteria established for the efficient extraction of road segments from different resolution images, providing satisfactory results in a completely automatic way.Univ Estadual Paulista, Fac Ciencias & Tecnol, Programa Posgrad Ciencias Cartog, BR-19060900 Presidente Prudente, SP, BrazilUniv Estadual Paulista, Fac Ciencias & Tecnol, Dept Cartog, BR-19060900 Presidente Prudente, SP, BrazilUniv Estadual Paulista, Fac Ciencias & Tecnol, Programa Posgrad Ciencias Cartog, BR-19060900 Presidente Prudente, SP, BrazilUniv Estadual Paulista, Fac Ciencias & Tecnol, Dept Cartog, BR-19060900 Presidente Prudente, SP, BrazilUniversidade Federal do Paraná (UFPR), Centro PolitecnicoUniversidade Estadual Paulista (Unesp)Ishibashi, Regina [UNESP]Dal Poz, Aluir Porfírio [UNESP]2014-05-20T13:22:44Z2014-05-20T13:22:44Z2009-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article352-372application/pdfhttp://ojs.c3sl.ufpr.br/ojs2/index.php/bcg/article/view/15503Boletim de Ciências Geodesicas. Curitiba Pr: Universidade Federal do Paraná (UFPR), Centro Politecnico, v. 15, n. 3, p. 352-372, 2009.1413-4853http://hdl.handle.net/11449/6710WOS:000270983800004WOS000270983800004.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporBoletim de Ciências Geodésicas0,188info:eu-repo/semantics/openAccess2024-06-18T15:01:53Zoai:repositorio.unesp.br:11449/6710Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:45:28.212229Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Extração automatica de segmentos lineares de rodovias em imagens de resoluções variadas
Automatic road segment extraction from images with different resolutions
title Extração automatica de segmentos lineares de rodovias em imagens de resoluções variadas
spellingShingle Extração automatica de segmentos lineares de rodovias em imagens de resoluções variadas
Ishibashi, Regina [UNESP]
Automation
Photogrammetry
Feature Extraction
Line Features
Parallel Edges
Road Features
title_short Extração automatica de segmentos lineares de rodovias em imagens de resoluções variadas
title_full Extração automatica de segmentos lineares de rodovias em imagens de resoluções variadas
title_fullStr Extração automatica de segmentos lineares de rodovias em imagens de resoluções variadas
title_full_unstemmed Extração automatica de segmentos lineares de rodovias em imagens de resoluções variadas
title_sort Extração automatica de segmentos lineares de rodovias em imagens de resoluções variadas
author Ishibashi, Regina [UNESP]
author_facet Ishibashi, Regina [UNESP]
Dal Poz, Aluir Porfírio [UNESP]
author_role author
author2 Dal Poz, Aluir Porfírio [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Ishibashi, Regina [UNESP]
Dal Poz, Aluir Porfírio [UNESP]
dc.subject.por.fl_str_mv Automation
Photogrammetry
Feature Extraction
Line Features
Parallel Edges
Road Features
topic Automation
Photogrammetry
Feature Extraction
Line Features
Parallel Edges
Road Features
description In this paper a methodology for automatic extraction of road segments from images with different resolutions (low, middle and high resolution) is presented. It is based on a generalized concept of lines in digital images, by which lines can be described by the centerlines of two parallel edges. In the specific case of low resolution images, where roads are manifested as entities of 1 or 2 pixels wide, the proposed methodology combines an automatic image enhancement operation with the following strategies: automatic selection of the hysteresis thresholds and the Gaussian scale factor; line length thresholding; and polygonization. In medium and high resolution images roads manifest as narrow and elongated ribbons and, consequently, the extraction goal becomes the road centerlines. In this case, it is not necessary to apply the previous enhancement step used to enhance roads in low resolution images. The results obtained in the experimental evaluation satisfied all criteria established for the efficient extraction of road segments from different resolution images, providing satisfactory results in a completely automatic way.
publishDate 2009
dc.date.none.fl_str_mv 2009-07-01
2014-05-20T13:22:44Z
2014-05-20T13:22:44Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://ojs.c3sl.ufpr.br/ojs2/index.php/bcg/article/view/15503
Boletim de Ciências Geodesicas. Curitiba Pr: Universidade Federal do Paraná (UFPR), Centro Politecnico, v. 15, n. 3, p. 352-372, 2009.
1413-4853
http://hdl.handle.net/11449/6710
WOS:000270983800004
WOS000270983800004.pdf
url http://ojs.c3sl.ufpr.br/ojs2/index.php/bcg/article/view/15503
http://hdl.handle.net/11449/6710
identifier_str_mv Boletim de Ciências Geodesicas. Curitiba Pr: Universidade Federal do Paraná (UFPR), Centro Politecnico, v. 15, n. 3, p. 352-372, 2009.
1413-4853
WOS:000270983800004
WOS000270983800004.pdf
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Boletim de Ciências Geodésicas
0,188
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 352-372
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Paraná (UFPR), Centro Politecnico
publisher.none.fl_str_mv Universidade Federal do Paraná (UFPR), Centro Politecnico
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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