Limiarização contextual automática de imagens coloridas: aplicação na extração de sementes de rodovia
Autor(a) principal: | |
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Data de Publicação: | 2008 |
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/11245 http://hdl.handle.net/11449/6718 |
Resumo: | In this paper is a totally automatic strategy proposed to reduce the complexity of patterns ( vegetation, building, soils etc.) that interact with the object 'road' in color images, thus reducing the difficulty of the automatic extraction of this object. The proposed methodology consists of three sequential steps. In the first step the punctual operator is applied for artificiality index computation known as NandA ( Natural and Artificial). The result is an image whose the intensity attribute is the NandA response. The second step consists in automatically thresholding the image obtained in the previous step, resulting in a binary image. This image usually allows the separation between artificial and natural objects. The third step consists in applying a preexisting road seed extraction methodology to the previous generated binary image. Several experiments carried out with real images made the verification of the potential of the proposed methodology possible. The comparison of the obtained result to others obtained by a similar methodology for road seed extraction from gray level images, showed that the main benefit was the drastic reduction of the computational effort. |
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Repositório Institucional da UNESP |
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Limiarização contextual automática de imagens coloridas: aplicação na extração de sementes de rodoviaAutomatic Contextual Thresholding of Color Images: Application in Road Seed ExtractionThresholdingRoad ExtractionColor ImageArtificiality IndexIn this paper is a totally automatic strategy proposed to reduce the complexity of patterns ( vegetation, building, soils etc.) that interact with the object 'road' in color images, thus reducing the difficulty of the automatic extraction of this object. The proposed methodology consists of three sequential steps. In the first step the punctual operator is applied for artificiality index computation known as NandA ( Natural and Artificial). The result is an image whose the intensity attribute is the NandA response. The second step consists in automatically thresholding the image obtained in the previous step, resulting in a binary image. This image usually allows the separation between artificial and natural objects. The third step consists in applying a preexisting road seed extraction methodology to the previous generated binary image. Several experiments carried out with real images made the verification of the potential of the proposed methodology possible. The comparison of the obtained result to others obtained by a similar methodology for road seed extraction from gray level images, showed that the main benefit was the drastic reduction of the computational effort.UNEMAT, Univ Estado Mato Grosso, Campus de Colider, MT, BrazilUniv Estadual Paulista, FCT, PPGCC, Depto Cartog, São Paulo, BrazilUniv Estadual Paulista, FCT, PPGCC, Depto Cartog, São Paulo, BrazilUniversidade Federal do Paraná (UFPR), Centro PolitecnicoUniversidade do Estado de Mato Grosso (UNEMAT)Universidade Estadual Paulista (Unesp)Do Vale, Giovane MaiaZanin, Rodrigo BrunoDal Poz, Aluir Porfírio [UNESP]2014-05-20T13:22:45Z2014-05-20T13:22:45Z2008-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article72-93application/pdfhttp://ojs.c3sl.ufpr.br/ojs2/index.php/bcg/article/view/11245Boletim de Ciências Geodesicas. Curitiba Pr: Universidade Federal do Paraná (UFPR), Centro Politecnico, v. 14, n. 1, p. 72-93, 2008.1413-4853http://hdl.handle.net/11449/6718WOS:000260625400005WOS000260625400005.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:11449/6718Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:01:53Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Limiarização contextual automática de imagens coloridas: aplicação na extração de sementes de rodovia Automatic Contextual Thresholding of Color Images: Application in Road Seed Extraction |
title |
Limiarização contextual automática de imagens coloridas: aplicação na extração de sementes de rodovia |
spellingShingle |
Limiarização contextual automática de imagens coloridas: aplicação na extração de sementes de rodovia Do Vale, Giovane Maia Thresholding Road Extraction Color Image Artificiality Index |
title_short |
Limiarização contextual automática de imagens coloridas: aplicação na extração de sementes de rodovia |
title_full |
Limiarização contextual automática de imagens coloridas: aplicação na extração de sementes de rodovia |
title_fullStr |
Limiarização contextual automática de imagens coloridas: aplicação na extração de sementes de rodovia |
title_full_unstemmed |
Limiarização contextual automática de imagens coloridas: aplicação na extração de sementes de rodovia |
title_sort |
Limiarização contextual automática de imagens coloridas: aplicação na extração de sementes de rodovia |
author |
Do Vale, Giovane Maia |
author_facet |
Do Vale, Giovane Maia Zanin, Rodrigo Bruno Dal Poz, Aluir Porfírio [UNESP] |
author_role |
author |
author2 |
Zanin, Rodrigo Bruno Dal Poz, Aluir Porfírio [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade do Estado de Mato Grosso (UNEMAT) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Do Vale, Giovane Maia Zanin, Rodrigo Bruno Dal Poz, Aluir Porfírio [UNESP] |
dc.subject.por.fl_str_mv |
Thresholding Road Extraction Color Image Artificiality Index |
topic |
Thresholding Road Extraction Color Image Artificiality Index |
description |
In this paper is a totally automatic strategy proposed to reduce the complexity of patterns ( vegetation, building, soils etc.) that interact with the object 'road' in color images, thus reducing the difficulty of the automatic extraction of this object. The proposed methodology consists of three sequential steps. In the first step the punctual operator is applied for artificiality index computation known as NandA ( Natural and Artificial). The result is an image whose the intensity attribute is the NandA response. The second step consists in automatically thresholding the image obtained in the previous step, resulting in a binary image. This image usually allows the separation between artificial and natural objects. The third step consists in applying a preexisting road seed extraction methodology to the previous generated binary image. Several experiments carried out with real images made the verification of the potential of the proposed methodology possible. The comparison of the obtained result to others obtained by a similar methodology for road seed extraction from gray level images, showed that the main benefit was the drastic reduction of the computational effort. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-01-01 2014-05-20T13:22:45Z 2014-05-20T13:22:45Z |
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/11245 Boletim de Ciências Geodesicas. Curitiba Pr: Universidade Federal do Paraná (UFPR), Centro Politecnico, v. 14, n. 1, p. 72-93, 2008. 1413-4853 http://hdl.handle.net/11449/6718 WOS:000260625400005 WOS000260625400005.pdf |
url |
http://ojs.c3sl.ufpr.br/ojs2/index.php/bcg/article/view/11245 http://hdl.handle.net/11449/6718 |
identifier_str_mv |
Boletim de Ciências Geodesicas. Curitiba Pr: Universidade Federal do Paraná (UFPR), Centro Politecnico, v. 14, n. 1, p. 72-93, 2008. 1413-4853 WOS:000260625400005 WOS000260625400005.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 |
72-93 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_ |
1803045516927303680 |