Abstract
Currently, the research on substation automation inspection relies on inspection robots and computer vision technologies. However, due to limitations of existing methods, some existing methods cannot meet the requirements of identifying instruments of wide varieties. Additionally, the applications of these methods are hindered by interferences, such as illumination and shadow. This paper presents an automatic reading method for pointer instruments. First, it proposes an instrument location method based on correlation filtering, which exhibits a good tolerance of severe lighting changes. Second, to identify the pointer angle, which is the major task in inspection, a human vision-inspired method is proposed, which directly reads the orientation of the pointer by Gabor-based filtering. This one-stage pointer angle identification algorithm is superior compared with a popular method based on Hough-transform in terms of robustness and accuracy. Because the latter includes several steps which lead to be fragile in practical applications. The experimental results show that the proposed method exhibits strong robustness against illumination variations and shadows, which is verified in different kinds of instruments.
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Mi, JX., Wang, XD., Yang, QY., Deng, X. (2021). A Robust and Automatic Recognition Method of Pointer Instruments in Power System. In: Huang, DS., Jo, KH., Li, J., Gribova, V., Bevilacqua, V. (eds) Intelligent Computing Theories and Application. ICIC 2021. Lecture Notes in Computer Science(), vol 12836. Springer, Cham. https://doi.org/10.1007/978-3-030-84522-3_18
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