EXTRACTION OF SIMPLE ROAD CROSSING

Detalhes bibliográficos
Autor(a) principal: Zanin, R. B.
Data de Publicação: 2010
Outros Autores: Martins, E. F. O., Vale, G. M. do, Dal Poz, A. P. [UNESP], Paparoditis, N., PierrotDeseilligny, M., Mallet, C., Tournaire, O.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/196066
Resumo: Road crossings of roads are important components of the road network. However, they generally are not explicit in the existing research on extraction of road network. This is due to the wide variety of road crossings may contain. Thus this paper presents a methodology for the extraction of simples road crossings considering the stages of pre-processing that performs a smoothing of the region of crossing, followed by binarization and skeletonization of the region of road crossing. Soon after the methodology proposes a model skeleton to perform a filtering of the spurious structures. Based on the model filtered performs the extraction of the edges of road crossings. The methodology was evaluated for four images with respect to the criterion of completeness and proved to be quite effective in content page 83.5% completeness of the average images.
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spelling EXTRACTION OF SIMPLE ROAD CROSSINGRoad CrossingRoad SeedsSegmentation of region crossingsSkeletonizationRoad crossings of roads are important components of the road network. However, they generally are not explicit in the existing research on extraction of road network. This is due to the wide variety of road crossings may contain. Thus this paper presents a methodology for the extraction of simples road crossings considering the stages of pre-processing that performs a smoothing of the region of crossing, followed by binarization and skeletonization of the region of road crossing. Soon after the methodology proposes a model skeleton to perform a filtering of the spurious structures. Based on the model filtered performs the extraction of the edges of road crossings. The methodology was evaluated for four images with respect to the criterion of completeness and proved to be quite effective in content page 83.5% completeness of the average images.State University of Sao Paulo (UNESP)State University of Mato Grosso (UNEMAT)Foundation of Research of State Mato Grosso (FAPEMAT)Univ Estado Mato Grosso, UNEMAT, Dept Math, Sinop, BrazilUniv Estado Mato Grosso, UNEMAT, Dept Comp, Colider, BrazilState Univ Sao Paulo, UNESP, Dept Cartog, Sao Paulo, BrazilState Univ Sao Paulo, UNESP, Dept Cartog, Sao Paulo, BrazilCopernicus Gesellschaft MbhUniv Estado Mato GrossoUniversidade Estadual Paulista (Unesp)Zanin, R. B.Martins, E. F. O.Vale, G. M. doDal Poz, A. P. [UNESP]Paparoditis, N.PierrotDeseilligny, M.Mallet, C.Tournaire, O.2020-12-10T19:32:12Z2020-12-10T19:32:12Z2010-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject55-59Pcv 2010: Photogrammetric Computer Vision And Image Analysis, Pt Ii. Gottingen: Copernicus Gesellschaft Mbh, v. 38, p. 55-59, 2010.2194-9034http://hdl.handle.net/11449/196066WOS:000345370800011Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPcv 2010: Photogrammetric Computer Vision And Image Analysis, Pt Iiinfo:eu-repo/semantics/openAccess2024-06-18T15:02:41Zoai:repositorio.unesp.br:11449/196066Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:48:21.597876Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv EXTRACTION OF SIMPLE ROAD CROSSING
title EXTRACTION OF SIMPLE ROAD CROSSING
spellingShingle EXTRACTION OF SIMPLE ROAD CROSSING
Zanin, R. B.
Road Crossing
Road Seeds
Segmentation of region crossings
Skeletonization
title_short EXTRACTION OF SIMPLE ROAD CROSSING
title_full EXTRACTION OF SIMPLE ROAD CROSSING
title_fullStr EXTRACTION OF SIMPLE ROAD CROSSING
title_full_unstemmed EXTRACTION OF SIMPLE ROAD CROSSING
title_sort EXTRACTION OF SIMPLE ROAD CROSSING
author Zanin, R. B.
author_facet Zanin, R. B.
Martins, E. F. O.
Vale, G. M. do
Dal Poz, A. P. [UNESP]
Paparoditis, N.
PierrotDeseilligny, M.
Mallet, C.
Tournaire, O.
author_role author
author2 Martins, E. F. O.
Vale, G. M. do
Dal Poz, A. P. [UNESP]
Paparoditis, N.
PierrotDeseilligny, M.
Mallet, C.
Tournaire, O.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Univ Estado Mato Grosso
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Zanin, R. B.
Martins, E. F. O.
Vale, G. M. do
Dal Poz, A. P. [UNESP]
Paparoditis, N.
PierrotDeseilligny, M.
Mallet, C.
Tournaire, O.
dc.subject.por.fl_str_mv Road Crossing
Road Seeds
Segmentation of region crossings
Skeletonization
topic Road Crossing
Road Seeds
Segmentation of region crossings
Skeletonization
description Road crossings of roads are important components of the road network. However, they generally are not explicit in the existing research on extraction of road network. This is due to the wide variety of road crossings may contain. Thus this paper presents a methodology for the extraction of simples road crossings considering the stages of pre-processing that performs a smoothing of the region of crossing, followed by binarization and skeletonization of the region of road crossing. Soon after the methodology proposes a model skeleton to perform a filtering of the spurious structures. Based on the model filtered performs the extraction of the edges of road crossings. The methodology was evaluated for four images with respect to the criterion of completeness and proved to be quite effective in content page 83.5% completeness of the average images.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01
2020-12-10T19:32:12Z
2020-12-10T19:32:12Z
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 Pcv 2010: Photogrammetric Computer Vision And Image Analysis, Pt Ii. Gottingen: Copernicus Gesellschaft Mbh, v. 38, p. 55-59, 2010.
2194-9034
http://hdl.handle.net/11449/196066
WOS:000345370800011
identifier_str_mv Pcv 2010: Photogrammetric Computer Vision And Image Analysis, Pt Ii. Gottingen: Copernicus Gesellschaft Mbh, v. 38, p. 55-59, 2010.
2194-9034
WOS:000345370800011
url http://hdl.handle.net/11449/196066
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Pcv 2010: Photogrammetric Computer Vision And Image Analysis, Pt Ii
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 55-59
dc.publisher.none.fl_str_mv Copernicus Gesellschaft Mbh
publisher.none.fl_str_mv Copernicus Gesellschaft Mbh
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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