Convolutional neural network-based edge detection technique for thermal images of electrical equipment

Xiaoyun Tian; Bin Liu; Chenyu Lv; Yongqiang Fan; Bin Zhang

doi:10.1117/12.3024337

13 May 2024 Convolutional neural network-based edge detection technique for thermal images of electrical equipment

Xiaoyun Tian, Bin Liu, Chenyu Lv, Yongqiang Fan, Bin Zhang

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 13159A0 (2024) https://doi.org/10.1117/12.3024337
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

Infrared detection is a common means of inspecting current electrical equipment. It has the advantages of not requiring power outage, non-contact, non-disassembly, long-distance, large-area rapid scanning imaging, safety, reliability, accuracy, and efficiency. However, infrared images of electrical equipment often suffer from low image resolution and high background noise, which poses a certain challenge to the detection of electrical equipment. Therefore, this paper proposes an edge detection technique based on convolutional neural networks. Firstly, the NL-means algorithm is used to denoise the obtained infrared images of electrical equipment. Then, grayscale histogram equalization is applied to enhance the images. The preprocessed images are input into the convolutional neural network to obtain the final edge detection image. Experiments show that the algorithm proposed in this paper can effectively segment electrical equipment from the infrared detection images.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoyun Tian, Bin Liu, Chenyu Lv, Yongqiang Fan, and Bin Zhang "Convolutional neural network-based edge detection technique for thermal images of electrical equipment", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 13159A0 (13 May 2024); https://doi.org/10.1117/12.3024337

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KEYWORDS

Infrared imaging

Infrared radiation

Thermography

Convolution

Image processing

Edge detection

Histograms

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