Automatic detection method for iced transmission lines under complex background

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@InProceedings{Su:2019:EITCE,

• author = "Beibei Su and Gang Xu",
• title = "Automatic detection method for iced transmission lines under complex background",
• booktitle = "2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE)",
• year = "2019",
• pages = "1555--1560",
• month = oct,
• keywords = "genetic algorithms, genetic programming, cold weather",
• DOI = "doi:10.1109/EITCE47263.2019.9095127",
• abstract = "Ice coating on transmission lines is very likely to cause major accidents such as flash over trips and inverted towers. In order to accurately and effectively monitor the ice-covered condition of transmission lines, this paper intends to use an optimization learning algorithm to extract the contours quickly. Firstly, the adaptive probability filter is used to denoise the iced image to reduce the influence of noise in complex environments. Then, the edge point and the non-edge point of a single image are studied by genetic programming without real edge points, which is quickly classifying and connecting the target edge points to adaptively obtain the contour of the transmission line. Finally, after comparing the relevant edge information of the transmission line before and after icing, the thickness of the ice coating could be obtained measured by pixel. The experimental results show that the method can adaptively extract the transmission lines under different backgrounds and improve the accuracy of automatic calculation of ice thickness.",
• notes = "Also known as \cite{9095127}",

}

Genetic Programming entries for Beibei Su Gang Xu

Citations