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- W2794644216 abstract "The characteristics of circular defect, linear defect and noise of sub-arc x-ray images are analyzed here. In order to construct the sparse representation dictionary matrix for x-ray welding image recognition, the dimension of the dictionary matrix is determined by analyzing the correlation curve of x-ray images firstly. A new mathematical model for constructing dictionary matrix is proposed. The new mathematical model is appropriate to sub-arc x-ray images. The mathematical model is solved by using Hopfield neural network, the energy function and solving algorithm are also presented. A dictionary matrix for sparse representation is constructed by using the presented algorithm, and real x-ray images recognition test based on sparse representation shows that the constructed dictionary matrix can decrease the model images and has good robust in recognition." @default.
- W2794644216 created "2018-04-06" @default.
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- W2794644216 date "2017-12-01" @default.
- W2794644216 modified "2023-10-10" @default.
- W2794644216 title "Dictionary matrix model and calculation algorithm in sparse representation for X-ray welding image recognition" @default.
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- W2794644216 doi "https://doi.org/10.1109/compcomm.2017.8322823" @default.
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