Detection and thinning of edges in previously known directions

Detalhes bibliográficos
Autor(a) principal: ARTERO, ALMIR OLIVETTE
Data de Publicação: 2009
Outros Autores: TOMMASELLI, ANTONIO MARIA GARCIA
Tipo de documento: Artigo
Idioma: por
Título da fonte: Boletim de Ciências Geodésicas
Texto Completo: https://revistas.ufpr.br/bcg/article/view/14604
Resumo: This work presents a study on the generation of digital masks aiming at edge detection with previously known directions. This solution is important when edge direction is available either from a direction histogram or from a prediction based on camera and object models. A modification in the non-maximum suppression method of thinning is also presented enabling the comparison of local maxima for any edge directions. Results with a synthetic image and with crops of a CBERS satellite images are presented showing an example with its application in road detection, provided that directions are previously known.
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spelling Detection and thinning of edges in previously known directionsDETECÇÃO E AFINAMENTO DE BORDAS EM DIREÇÕES PREVIAMENTE CONHECIDASThis work presents a study on the generation of digital masks aiming at edge detection with previously known directions. This solution is important when edge direction is available either from a direction histogram or from a prediction based on camera and object models. A modification in the non-maximum suppression method of thinning is also presented enabling the comparison of local maxima for any edge directions. Results with a synthetic image and with crops of a CBERS satellite images are presented showing an example with its application in road detection, provided that directions are previously known. Este trabalho apresenta um método para a construção de filtros para detecção de bordas que apresentam uma maior resposta em direções previamente estabelecidas. Esta solução é importante quando se deseja extrair linhas cuja direção é previamente conhecida, tanto a partir de um histograma de direções predominantes, quanto pela predição com base nos modelos de câmara e do objeto. Apresenta-se também uma modificação no método de afinamento por supressão não–máxima, permitindo o tratamento de bordas com qualquer direção. Por fim, são apresentados alguns resultados com uma imagem sintética e com recortes de imagens orbitais CBERS, mostrando exemplos de aplicação dos filtros propostos para detectar bordas de rodovias, cujas direções são conhecidas. Boletim de Ciências GeodésicasBulletin of Geodetic Sciences2009-06-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/14604Boletim de Ciências Geodésicas; Vol 15, No 2 (2009)Bulletin of Geodetic Sciences; Vol 15, No 2 (2009)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRporhttps://revistas.ufpr.br/bcg/article/view/14604/9802ARTERO, ALMIR OLIVETTETOMMASELLI, ANTONIO MARIA GARCIAinfo:eu-repo/semantics/openAccess2009-06-19T19:32:51Zoai:revistas.ufpr.br:article/14604Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2009-06-19T19:32:51Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false
dc.title.none.fl_str_mv Detection and thinning of edges in previously known directions
DETECÇÃO E AFINAMENTO DE BORDAS EM DIREÇÕES PREVIAMENTE CONHECIDAS
title Detection and thinning of edges in previously known directions
spellingShingle Detection and thinning of edges in previously known directions
ARTERO, ALMIR OLIVETTE
title_short Detection and thinning of edges in previously known directions
title_full Detection and thinning of edges in previously known directions
title_fullStr Detection and thinning of edges in previously known directions
title_full_unstemmed Detection and thinning of edges in previously known directions
title_sort Detection and thinning of edges in previously known directions
author ARTERO, ALMIR OLIVETTE
author_facet ARTERO, ALMIR OLIVETTE
TOMMASELLI, ANTONIO MARIA GARCIA
author_role author
author2 TOMMASELLI, ANTONIO MARIA GARCIA
author2_role author
dc.contributor.author.fl_str_mv ARTERO, ALMIR OLIVETTE
TOMMASELLI, ANTONIO MARIA GARCIA
description This work presents a study on the generation of digital masks aiming at edge detection with previously known directions. This solution is important when edge direction is available either from a direction histogram or from a prediction based on camera and object models. A modification in the non-maximum suppression method of thinning is also presented enabling the comparison of local maxima for any edge directions. Results with a synthetic image and with crops of a CBERS satellite images are presented showing an example with its application in road detection, provided that directions are previously known.
publishDate 2009
dc.date.none.fl_str_mv 2009-06-19
dc.type.none.fl_str_mv

dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufpr.br/bcg/article/view/14604
url https://revistas.ufpr.br/bcg/article/view/14604
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.ufpr.br/bcg/article/view/14604/9802
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
dc.source.none.fl_str_mv Boletim de Ciências Geodésicas; Vol 15, No 2 (2009)
Bulletin of Geodetic Sciences; Vol 15, No 2 (2009)
1982-2170
1413-4853
reponame:Boletim de Ciências Geodésicas
instname:Universidade Federal do Paraná (UFPR)
instacron:UFPR
instname_str Universidade Federal do Paraná (UFPR)
instacron_str UFPR
institution UFPR
reponame_str Boletim de Ciências Geodésicas
collection Boletim de Ciências Geodésicas
repository.name.fl_str_mv Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)
repository.mail.fl_str_mv qdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br
_version_ 1799771717741051905

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