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- W2336761404 abstract "This paper proposed a power network line damage identification method based on image feature analysis. By extracting and analyzing outline features, shape features and statistical characteristics of electric power network images, the classification results of all the sub images of all the to-be-matched vein images are fused, whether this image matches the power network line breakage characteristics is judged, so as to realize the power network lines' damage identification, solve the problem of the traditional line identification method as a result of the kinds of line breakage it can analyze is limited and it can't complete lines' damage identification problem effectively.The simulation results show that the proposed method has high identification accuracy." @default.
- W2336761404 created "2016-06-24" @default.
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- W2336761404 date "2016-01-01" @default.
- W2336761404 modified "2023-09-27" @default.
- W2336761404 title "Study of power network line damage identification based on image feature analysis" @default.
- W2336761404 cites W2229150117 @default.
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- W2336761404 doi "https://doi.org/10.2991/nceece-15.2016.22" @default.
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