A sensor for vision-based navigation in underwater path tracking with color and edge segmentation

Autores
Jordán, Mario A.; Trabes, Emanuel; Berger, Carlos E.; Bustamante, Jorge L.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper aims the design and implementation of a visionbased sensor for navigation of underwater vehicles with adaptive attributes. The objective pointed out is a sensor for tracking of underwater lines. The sensor employs a basic structure with a pixel-wise AND operation of binarized frames of separated channels HSV and an edgesegmented frame. The basic sensor performs well by good illuminated scenes. By significant drops of luminance, the efficiency falls. So an adaptive sensor is proposed over the basic structure. It operates on the brightness channel carrying out a maximization of contains in the accumulator bins of a Hough transformation. It has proven to enhanced the identification of the tracked line increasing the success rate.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
vision-based sensor
underwater path tracking
Hough Transform
HSV model
pipeline identification
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nd/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/41761
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/41761
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A sensor for vision-based navigation in underwater path tracking with color and edge segmentationJordán, Mario A.Trabes, EmanuelBerger, Carlos E.Bustamante, Jorge L.Ciencias Informáticasvision-based sensorunderwater path trackingHough TransformHSV modelpipeline identificationThis paper aims the design and implementation of a visionbased sensor for navigation of underwater vehicles with adaptive attributes. The objective pointed out is a sensor for tracking of underwater lines. The sensor employs a basic structure with a pixel-wise AND operation of binarized frames of separated channels HSV and an edgesegmented frame. The basic sensor performs well by good illuminated scenes. By significant drops of luminance, the efficiency falls. So an adaptive sensor is proposed over the basic structure. It operates on the brightness channel carrying out a maximization of contains in the accumulator bins of a Hough transformation. It has proven to enhanced the identification of the tracked line increasing the success rate.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2014-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf1-12http://sedici.unlp.edu.ar/handle/10915/41761enginfo:eu-repo/semantics/altIdentifier/url/http://43jaiio.sadio.org.ar/proceedings/AST/Paper1_AST_Jordan.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2806info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nd/3.0/Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:53:41Zoai:sedici.unlp.edu.ar:10915/41761Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:53:42.114SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A sensor for vision-based navigation in underwater path tracking with color and edge segmentation
title A sensor for vision-based navigation in underwater path tracking with color and edge segmentation
spellingShingle A sensor for vision-based navigation in underwater path tracking with color and edge segmentation
Jordán, Mario A.
Ciencias Informáticas
vision-based sensor
underwater path tracking
Hough Transform
HSV model
pipeline identification
title_short A sensor for vision-based navigation in underwater path tracking with color and edge segmentation
title_full A sensor for vision-based navigation in underwater path tracking with color and edge segmentation
title_fullStr A sensor for vision-based navigation in underwater path tracking with color and edge segmentation
title_full_unstemmed A sensor for vision-based navigation in underwater path tracking with color and edge segmentation
title_sort A sensor for vision-based navigation in underwater path tracking with color and edge segmentation
dc.creator.none.fl_str_mv Jordán, Mario A.
Trabes, Emanuel
Berger, Carlos E.
Bustamante, Jorge L.
author Jordán, Mario A.
author_facet Jordán, Mario A.
Trabes, Emanuel
Berger, Carlos E.
Bustamante, Jorge L.
author_role author
author2 Trabes, Emanuel
Berger, Carlos E.
Bustamante, Jorge L.
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
vision-based sensor
underwater path tracking
Hough Transform
HSV model
pipeline identification
topic Ciencias Informáticas
vision-based sensor
underwater path tracking
Hough Transform
HSV model
pipeline identification
dc.description.none.fl_txt_mv This paper aims the design and implementation of a visionbased sensor for navigation of underwater vehicles with adaptive attributes. The objective pointed out is a sensor for tracking of underwater lines. The sensor employs a basic structure with a pixel-wise AND operation of binarized frames of separated channels HSV and an edgesegmented frame. The basic sensor performs well by good illuminated scenes. By significant drops of luminance, the efficiency falls. So an adaptive sensor is proposed over the basic structure. It operates on the brightness channel carrying out a maximization of contains in the accumulator bins of a Hough transformation. It has proven to enhanced the identification of the tracked line increasing the success rate.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description This paper aims the design and implementation of a visionbased sensor for navigation of underwater vehicles with adaptive attributes. The objective pointed out is a sensor for tracking of underwater lines. The sensor employs a basic structure with a pixel-wise AND operation of binarized frames of separated channels HSV and an edgesegmented frame. The basic sensor performs well by good illuminated scenes. By significant drops of luminance, the efficiency falls. So an adaptive sensor is proposed over the basic structure. It operates on the brightness channel carrying out a maximization of contains in the accumulator bins of a Hough transformation. It has proven to enhanced the identification of the tracked line increasing the success rate.
publishDate 2014
dc.date.none.fl_str_mv 2014-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/41761
url http://sedici.unlp.edu.ar/handle/10915/41761
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://43jaiio.sadio.org.ar/proceedings/AST/Paper1_AST_Jordan.pdf
info:eu-repo/semantics/altIdentifier/issn/1850-2806
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nd/3.0/
Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nd/3.0/
Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)
dc.format.none.fl_str_mv application/pdf
1-12
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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