Mostrar el registro sencillo del ítem
dc.contributor.author
Jordan, Mario Alberto
dc.contributor.author
Trabes, Emanuel
dc.date.available
2017-02-06T21:10:37Z
dc.date.issued
2015-04
dc.identifier.citation
Jordan, Mario Alberto; Trabes, Emanuel; An Adaptive Vision-based Sensor for Underwater Line Detection Employing Shape and Color Image Segmentation; Science and Engineering Institute; Journal of Automation and Control Engineering; 3; 6; 4-2015; 480-486
dc.identifier.issn
2301-3702
dc.identifier.uri
http://hdl.handle.net/11336/12571
dc.description.abstract
This work aims the design and implementation of an adaptive vision-based sensor for detecting a pipe on underwater scenes in real time. The motivation is focused to future applications of vision servo control in underwater vehicles. The approach employs color and shape image segmentation together with an adjust mechanism that aims continuously in time to reach the best setup of a parameter set of the color image segmentation. The sensor performs very well even in the case of large and rapid changes in the scene illumination. On the basis of many experiments carried out in real scenes and the comparison with similar algorithms in the state-of-the-art field on the same application, the approach gets a better positioning with respect to related results above all in the case of extremely changing and poor luminance conditions. As drawback, the required computation time to achieve optimal values for the first time (auto-tuning phase) may be large; contrary to the adaptive ongoing process, in where the optimization is much more agile.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Science and Engineering Institute
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Underwater Pipeline Detection
dc.subject
Vision-Based Sensor
dc.subject
Hsv Model
dc.subject
Optimal Parameter Adjustments
dc.subject
Chanching Illumination Levels
dc.subject
Adaptative Sensor
dc.subject.classification
Control Automático y Robótica
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
An Adaptive Vision-based Sensor for Underwater Line Detection Employing Shape and Color Image Segmentation
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-02-03T17:51:50Z
dc.identifier.eissn
2325-7415
dc.journal.volume
3
dc.journal.number
6
dc.journal.pagination
480-486
dc.journal.pais
China
dc.journal.ciudad
Hong Kong
dc.description.fil
Fil: Jordan, Mario Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto Argentino de Oceanografía (i); Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina
dc.description.fil
Fil: Trabes, Emanuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto Argentino de Oceanografía (i); Argentina
dc.journal.title
Journal of Automation and Control Engineering
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.joace.org/index.php?m=content&c=index&a=show&catid=50&id=278
Archivos asociados