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- W2767935549 abstract "With the development of the electricity industry in our country, the kinds and the quantities of electrical equipment are increasing quickly. When the electrical equipment is checked and evaluated, the recognition of equipment is very important. In this paper, based on gray level co-occurrence matrix to extract the texture of equipment, we proposed a way to identify the electrical equipment. First it uses the gray level co-occurrence matrix texture matching recognition of electrical equipment, and then adopts the method of fuzzy logic according to the result of the match on the classified recognition of electric equipment. By the experiments, the correctness and feasibility of identification method to the electrical equipment are proved." @default.
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- W2767935549 date "2017-11-12" @default.
- W2767935549 modified "2023-09-25" @default.
- W2767935549 title "Feature Extraction of Electrical Equipment Identification Based on Gray Level Co-occurrence Matrix" @default.
- W2767935549 cites W1969294188 @default.
- W2767935549 doi "https://doi.org/10.1007/978-3-319-65978-7_30" @default.
- W2767935549 hasPublicationYear "2017" @default.
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