Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linear
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://www.seer.ufu.br/index.php/cieng/article/view/532 http://hdl.handle.net/11449/69401 |
Resumo: | The edges detection model by a non-linear anisotropic diffusion, consists in a mathematical model of smoothing based in Partial Differential Equation (PDE), alternative to the conventional low-pass filters. The smoothing model consists in a selective process, where homogeneous areas of the image are smoothed intensely in agreement with the temporal evolution applied to the model. The level of smoothing is related with the amount of undesired information contained in the image, i.e., the model is directly related with the optimal level of smoothing, eliminating the undesired information and keeping selectively the interest features for Cartography area. The model is primordial for cartographic applications, its function is to realize the image preprocessing without losing edges and other important details on the image, mainly airports tracks and paved roads. Experiments carried out with digital images showed that the methodology allows to obtain the features, e.g. airports tracks, with efficiency. |
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Repositório Institucional da UNESP |
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Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linearEdges detection in digital image by a non-linear anisotropic diffusion processCartographyNon-linear anisotropic diffusionOrbital imagesPartial Differential EquationsRemote SensingDetection modelsDigital imageImage preprocessingOptimal levelPaved roadSelective processTemporal evolutionComputational fluid dynamicsDiffusionImage segmentationLow pass filtersMappingMapsMathematical modelsOptical anisotropyRemote sensingPartial differential equationsThe edges detection model by a non-linear anisotropic diffusion, consists in a mathematical model of smoothing based in Partial Differential Equation (PDE), alternative to the conventional low-pass filters. The smoothing model consists in a selective process, where homogeneous areas of the image are smoothed intensely in agreement with the temporal evolution applied to the model. The level of smoothing is related with the amount of undesired information contained in the image, i.e., the model is directly related with the optimal level of smoothing, eliminating the undesired information and keeping selectively the interest features for Cartography area. The model is primordial for cartographic applications, its function is to realize the image preprocessing without losing edges and other important details on the image, mainly airports tracks and paved roads. Experiments carried out with digital images showed that the methodology allows to obtain the features, e.g. airports tracks, with efficiency.Universidade Estadual Paulista Programa de Pós Graduação em Ciências Cartográficas, Rua Roberto Simonsen, 305, CEP 19060-900 - Presidente Prudente - SPUniversidade Estadual Paulista Departamento de Cartografia, Rua Roberto Simonsen, 305, CEP 19060-900 - Presidente Prudente - SPUniversidade Estadual Paulista Programa de Pós Graduação em Ciências Cartográficas, Rua Roberto Simonsen, 305, CEP 19060-900 - Presidente Prudente - SPUniversidade Estadual Paulista Departamento de Cartografia, Rua Roberto Simonsen, 305, CEP 19060-900 - Presidente Prudente - SPUniversidade Estadual Paulista (Unesp)Dos Santos Galvanin, Edinéia Aparecida [UNESP]Silva, Erivaldo Antonio da [UNESP]2014-05-27T11:22:20Z2014-05-27T11:22:20Z2006-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article73-78application/pdfhttp://www.seer.ufu.br/index.php/cieng/article/view/532Ciencia y Engenharia/ Science and Engineering Journal, v. 15, p. 73-78.0103-944Xhttp://hdl.handle.net/11449/694012-s2.0-779538987402-s2.0-77953898740.pdf91035450045071350000-0002-7069-0479Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporCiencia y Engenharia/ Science and Engineering Journalinfo:eu-repo/semantics/openAccess2024-06-18T15:01:27Zoai:repositorio.unesp.br:11449/69401Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:24:14.196206Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linear Edges detection in digital image by a non-linear anisotropic diffusion process |
title |
Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linear |
spellingShingle |
Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linear Dos Santos Galvanin, Edinéia Aparecida [UNESP] Cartography Non-linear anisotropic diffusion Orbital images Partial Differential Equations Remote Sensing Detection models Digital image Image preprocessing Optimal level Paved road Selective process Temporal evolution Computational fluid dynamics Diffusion Image segmentation Low pass filters Mapping Maps Mathematical models Optical anisotropy Remote sensing Partial differential equations |
title_short |
Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linear |
title_full |
Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linear |
title_fullStr |
Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linear |
title_full_unstemmed |
Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linear |
title_sort |
Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linear |
author |
Dos Santos Galvanin, Edinéia Aparecida [UNESP] |
author_facet |
Dos Santos Galvanin, Edinéia Aparecida [UNESP] Silva, Erivaldo Antonio da [UNESP] |
author_role |
author |
author2 |
Silva, Erivaldo Antonio da [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Dos Santos Galvanin, Edinéia Aparecida [UNESP] Silva, Erivaldo Antonio da [UNESP] |
dc.subject.por.fl_str_mv |
Cartography Non-linear anisotropic diffusion Orbital images Partial Differential Equations Remote Sensing Detection models Digital image Image preprocessing Optimal level Paved road Selective process Temporal evolution Computational fluid dynamics Diffusion Image segmentation Low pass filters Mapping Maps Mathematical models Optical anisotropy Remote sensing Partial differential equations |
topic |
Cartography Non-linear anisotropic diffusion Orbital images Partial Differential Equations Remote Sensing Detection models Digital image Image preprocessing Optimal level Paved road Selective process Temporal evolution Computational fluid dynamics Diffusion Image segmentation Low pass filters Mapping Maps Mathematical models Optical anisotropy Remote sensing Partial differential equations |
description |
The edges detection model by a non-linear anisotropic diffusion, consists in a mathematical model of smoothing based in Partial Differential Equation (PDE), alternative to the conventional low-pass filters. The smoothing model consists in a selective process, where homogeneous areas of the image are smoothed intensely in agreement with the temporal evolution applied to the model. The level of smoothing is related with the amount of undesired information contained in the image, i.e., the model is directly related with the optimal level of smoothing, eliminating the undesired information and keeping selectively the interest features for Cartography area. The model is primordial for cartographic applications, its function is to realize the image preprocessing without losing edges and other important details on the image, mainly airports tracks and paved roads. Experiments carried out with digital images showed that the methodology allows to obtain the features, e.g. airports tracks, with efficiency. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-12-01 2014-05-27T11:22:20Z 2014-05-27T11:22:20Z |
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://www.seer.ufu.br/index.php/cieng/article/view/532 Ciencia y Engenharia/ Science and Engineering Journal, v. 15, p. 73-78. 0103-944X http://hdl.handle.net/11449/69401 2-s2.0-77953898740 2-s2.0-77953898740.pdf 9103545004507135 0000-0002-7069-0479 |
url |
http://www.seer.ufu.br/index.php/cieng/article/view/532 http://hdl.handle.net/11449/69401 |
identifier_str_mv |
Ciencia y Engenharia/ Science and Engineering Journal, v. 15, p. 73-78. 0103-944X 2-s2.0-77953898740 2-s2.0-77953898740.pdf 9103545004507135 0000-0002-7069-0479 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Ciencia y Engenharia/ Science and Engineering Journal |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
73-78 application/pdf |
dc.source.none.fl_str_mv |
Scopus 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_ |
1808128804968726528 |