Power Line Segmentation Focusing on Features of Background Region in Landscape Images

In this paper, we propose a power lines detection method for automatic power lines removal. When detecting power lines in an image, the difficulty of detection depends on the features of the power lines background. Therefore, in this paper, four wire detection networks are trained by focusing on the differences in background regions obtained by semantic segmentation technique. The proposed method achieves wire detection by combining four wire maps obtained from four networks. Experiment results show the effectiveness of the proposed method.

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Publication Details

Journal
IEEJ Transactions on Electronics Information and Systems
Published
2025-11-30
DOI
https://doi.org/10.1541/ieejeiss.145.1115
Primary Topic
Power Line Inspection Robots
Type
article
Field-Weighted Citation Impact
0.00
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article

Power Line Segmentation Focusing on Features of Background Region in Landscape Images

Kazunori Uruma, T. Saito
IEEJ Transactions on Electronics Information and Systems
Power Line Inspection Robots
article

Power Line Segmentation Focusing on Features of Background Region in Landscape Images

Kazunori Uruma, T. Saito
article en

Abstract

In this paper, we propose a power lines detection method for automatic power lines removal. When detecting power lines in an image, the difficulty of detection depends on the features of the power lines background. Therefore, in this paper, four wire detection networks are trained by focusing on the differences in background regions obtained by semantic segmentation technique. The proposed method achieves wire detection by combining four wire maps obtained from four networks. Experiment results show the effectiveness of the proposed method.

IEEJ Transactions on Electronics Information and SystemsVol. 145(12)
Kogakuin University (JP)
Openalex Percentile: Top 61%
Power Line Inspection Robots
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