An instance segmentation approach for power lines detection based on image enhancement and deep neural networks

Xi Luo; Mengqi Yin; Ce Xu; Guanrong Tang

doi:10.1117/12.3004263

25 September 2023 An instance segmentation approach for power lines detection based on image enhancement and deep neural networks

Xi Luo, Mengqi Yin, Ce Xu, Guanrong Tang

Author Affiliations +

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127883Z (2023) https://doi.org/10.1117/12.3004263
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Power lines detection (PLD) plays a key role in ensuring the convenience and stability of social urban life. Deep learning-based methods have been widely investigated for power lines detection, which can prevent the operators from damage. However, due to the influence of light, angle, position and other factors, how to realize the reliable power line detection (PLD) automatically in real time and prevent accidents is a challenging problem. In this paper, a novel framework based yolcat is proposed to enhance the images and automatically detect power lines based on deep learning. The novel framework is by design fully convolutional, and it consists of two modules: (i) an image enhancement with Gaussian Pyramid, (ii) a line segment regressor. To evaluate the proposed methods, a public dataset is utilized to test the performance of line detection with standard metric of mean average precision (mAP). Results indicate that the proposed methods show the best performance of power line detection with the image enhancement across baseline methods

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Xi Luo, Mengqi Yin, Ce Xu, and Guanrong Tang "An instance segmentation approach for power lines detection based on image enhancement and deep neural networks", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127883Z (25 September 2023); https://doi.org/10.1117/12.3004263

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KEYWORDS

Image enhancement

Image segmentation

Image fusion

Education and training

Neural networks

Deep learning

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