Power line detection using a circle based search with UAV images

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

doi:10.1109/ICUAS.2014.6842307

Power line detection using a circle based search with UAV images

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

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

47 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings
Publisher	IEEE Computer Society
Pages	632-639
Number of pages	8
ISBN (Print)	9781479923762
DOIs	https://doi.org/10.1109/ICUAS.2014.6842307
State	Published - 2014
Event	2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Orlando, FL, United States Duration: 27 May 2014 → 30 May 2014

Publication series

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

Conference

Conference	2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014
Country/Territory	United States
City	Orlando, FL
Period	27/05/14 → 30/05/14

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10.1109/ICUAS.2014.6842307

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Ceron, A., Mondragon B., I. F., & Prieto, F. (2014). Power line detection using a circle based search with UAV images. In 2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings (pp. 632-639). Article 6842307 (2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings). IEEE Computer Society. https://doi.org/10.1109/ICUAS.2014.6842307

@inproceedings{9d6f4970a8cb4ff09216658a80225df2,

title = "Power line detection using a circle based search with UAV images",

abstract = "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.",

author = "Alexander Ceron and {Mondragon B.}, {Ivan F.} and Flavio Prieto",

year = "2014",

doi = "10.1109/ICUAS.2014.6842307",

language = "English",

isbn = "9781479923762",

series = "2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings",

publisher = "IEEE Computer Society",

pages = "632--639",

booktitle = "2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings",

address = "United States",

note = "2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 ; Conference date: 27-05-2014 Through 30-05-2014",

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Ceron, A, Mondragon B., IF & Prieto, F 2014, Power line detection using a circle based search with UAV images. in 2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings., 6842307, 2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings, IEEE Computer Society, pp. 632-639, 2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014, Orlando, FL, United States, 27/05/14. https://doi.org/10.1109/ICUAS.2014.6842307

Power line detection using a circle based search with UAV images. / Ceron, Alexander; Mondragon B., Ivan F.; Prieto, Flavio.
2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings. IEEE Computer Society, 2014. p. 632-639 6842307 (2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2014

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N2 - 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.

AB - 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.

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Ceron A, Mondragon B. IF, Prieto F. Power line detection using a circle based search with UAV images. In 2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings. IEEE Computer Society. 2014. p. 632-639. 6842307. (2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings). doi: 10.1109/ICUAS.2014.6842307

Power line detection using a circle based search with UAV images

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