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- W2896299237 abstract "Safety signs are an important guarantee for the safe operation of a substation. The proper placements of all safety signs in a substation as well as accurate detection and identification of them provide the basis for future defect detection of safety signs. With the use of LABVIEW programming language and MATLAB mathematical software, a method of detecting and recognizing security signs is proposed. First of all, the returned images during the substation inspection will be preprocessed. Then the warning signs will be extracted by color features, and each part of the warning signs will be segmented. Finally, the safety signs will be identified by neural network matching." @default.
- W2896299237 created "2018-10-26" @default.
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- W2896299237 date "2018-07-01" @default.
- W2896299237 modified "2023-09-26" @default.
- W2896299237 title "Detection and Identification of Substation Safety Signs" @default.
- W2896299237 doi "https://doi.org/10.23919/chicc.2018.8483430" @default.
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