Guodong Yang, Dezheng Zhao, Wenkai Chang, E. Li, Zi-ze Liang
{"title":"Detection for power transmission line in low-resolution aerial image","authors":"Guodong Yang, Dezheng Zhao, Wenkai Chang, E. Li, Zi-ze Liang","doi":"10.1109/ROBIO.2017.8324614","DOIUrl":null,"url":null,"abstract":"This paper presents a detection method for power transmission lines in low-resolution aerial image. The method is composed with two procedures as the line extraction procedure and the line fitting procedure. In the first procedure, an extraction algorithm based on Hessian matrix is proposed to segment the lines from the complex background. Besides, an image filter algorithm based on region growing is adopted to eliminate interference points caused by background. In the second procedure, a line fitting algorithm based on Expectation Maximization(EM) method is developed to get the geometry parameters and positions of the lines. Experiments show the effectiveness and efficiency of the proposed detection method.","PeriodicalId":197159,"journal":{"name":"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2017.8324614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper presents a detection method for power transmission lines in low-resolution aerial image. The method is composed with two procedures as the line extraction procedure and the line fitting procedure. In the first procedure, an extraction algorithm based on Hessian matrix is proposed to segment the lines from the complex background. Besides, an image filter algorithm based on region growing is adopted to eliminate interference points caused by background. In the second procedure, a line fitting algorithm based on Expectation Maximization(EM) method is developed to get the geometry parameters and positions of the lines. Experiments show the effectiveness and efficiency of the proposed detection method.