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.
Authors
- Kazunori Uruma (ORCID: https://orcid.org/0000-0002-3915-6796)
- T. Saito
Institutions
- Kogakuin University (JP)
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