[1]WANG Kaixuan,REN Fuji,NI Hongjun,et al.Temperature value recognition algorithm for the infrared image of power equipment[J].CAAI Transactions on Intelligent Systems,2022,17(3):617-624.[doi:10.11992/tis.202105043]
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Temperature value recognition algorithm for the infrared image of power equipment
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
17
Number of periods:
2022 3
Page number:
617-624
Column:
人工智能院长论坛
Public date:
2022-05-05
- Title:
- Temperature value recognition algorithm for the infrared image of power equipment
- Keywords:
- power equipment; infrared image; adaptive threshold; image segmentation; character recognition; convolutional neural network; defect detection; simulation system
- CLC:
- TP391
- DOI:
- 10.11992/tis.202105043
- Abstract:
- To quickly and accurately recognize the temperature value of an infrared image and realize defect detection, we propose a temperature value recognition algorithm for the infrared image of power equipment. Owing to the complex background of the temperature value region, the adaptive threshold is determined for preprocessing based on the infrared image histogram. Combined with the contour and relative position information, the precise location of the temperature value is segmented. The infrared image temperature values dataset is established, trained, and tested by the convolutional neural network. The temperature value recognition and recording system are designed based on the App Designer module of MATLAB. The experiment demonstrates that the accuracy of the proposed method reaches 98.6%, which is higher than the traditional character recognition algorithm. The proposed method can quickly and accurately recognize and record the temperature value, effectively reducing the labor intensity of power inspectors.
- References:
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1900-01-01