Extração automatica de segmentos lineares de rodovias em imagens de resoluções variadas
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1808129459500351488 |