Power line detection based on region growing and ridge-based line detector

Xiwen Yao, Lei Guo, Tianyun Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Automatic power line detection is one of the most important and challenging tasks for helicopter's low flight to avoid the power-line-strike accident. In this paper, we propose a novel method to detect power lines in the infrared image. Firstly, region growing is used to get the line support regions. Then a ridge-based line detector is applied to extract the accurate power lines points in the support regions followed by a linking step combined with chain codes analysis to refine the power lines. The experimental results against two state-of-the-art line detection algorithms demonstrate the performance of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of 2013 Chinese Intelligent Automation Conference - Intelligent Automation and Intelligent Technology and Systems
PublisherSpringer Verlag
Pages431-437
Number of pages7
ISBN (Print)9783642384592
DOIs
StatePublished - 2013
Event2013 Chinese Intelligent Automation Conference, CIAC 2013 - Yangzhou, Jiangsu, China
Duration: 23 Aug 201325 Aug 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume255 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference2013 Chinese Intelligent Automation Conference, CIAC 2013
Country/TerritoryChina
CityYangzhou, Jiangsu
Period23/08/1325/08/13

Keywords

  • Power line detection
  • Region growing
  • Ridge-based line detector

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