Registro completo de metadatos
| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.creator | Jordan, Mario Alberto | - |
| dc.creator | Trabes, Emanuel | - |
| dc.date | 2017-02-06T21:10:37Z | - |
| dc.date | 2017-02-06T21:10:37Z | - |
| dc.date | 2015-04 | - |
| dc.date | 2017-02-03T17:51:50Z | - |
| dc.date.accessioned | 2019-04-29T15:56:58Z | - |
| dc.date.available | 2019-04-29T15:56:58Z | - |
| dc.identifier | 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 | 2301-3702 | - |
| dc.identifier | http://hdl.handle.net/11336/12571 | - |
| dc.identifier | 2325-7415 | - |
| dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/306017 | - |
| dc.description | 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.description | 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: Trabes, Emanuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto Argentino de Oceanografía (i); Argentina | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.publisher | Science and Engineering Institute | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/http://www.joace.org/index.php?m=content&c=index&a=show&catid=50&id=278 | - |
| dc.rights | info:eu-repo/semantics/openAccess | - |
| dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | - |
| dc.source | reponame:CONICET Digital (CONICET) | - |
| dc.source | instname:Consejo Nacional de Investigaciones Científicas y Técnicas | - |
| dc.source | instacron:CONICET | - |
| 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 | Control Automático y Robótica | - |
| dc.subject | Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información | - |
| dc.subject | 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:eu-repo/semantics/publishedVersion | - |
| dc.type | info:ar-repo/semantics/articulo | - |
| Aparece en las colecciones: | CONICET | |
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