Power line detection using a circle based search with UAV images

Alexander Ceron, Ivan F. Mondragon B., Flavio Prieto

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

47 Citas (Scopus)

Resumen

A new method for power line detection based on computer graphics algorithms is presented. The algorithm uses geometric relationships that are inherent to the circle symmetry. The method detects line segments that are linked in a posterior stage. For the detection, we use Canny and Steerable Filters. We developed two tests for validating the proposed approach. The first one uses synthetic images and the second one real power line images taken from UAVs. The results show that this method is not only efficient for line detection, but it also takes compared with state of the art algorithms a short computing time without the use of a GPU approach.

Idioma originalInglés
Título de la publicación alojada2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings
EditorialIEEE Computer Society
Páginas632-639
Número de páginas8
ISBN (versión impresa)9781479923762
DOI
EstadoPublicada - 2014
Evento2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Orlando, FL, Estados Unidos
Duración: 27 may. 201430 may. 2014

Serie de la publicación

Nombre2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings

Conferencia

Conferencia2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014
País/TerritorioEstados Unidos
CiudadOrlando, FL
Período27/05/1430/05/14

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