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- W4386821802 abstract "In the industrial field, rock slices are often used to observe the characteristics of dolomite. Aiming at the problem of the adhesion and unclear segmentation of dolomite mineral facies components, an improved Unet network segmentation model is proposed to segment the dolomite mineral facies components, calculate the content of each component to judge the quality of dolomite, and provide a basis for mining high-quality dolomite ores. Add residual blocks at the bottom of the Unet network model, extract more information, and introduce multi-scale parallel hole convolution to increase the receptive field while maintaining the sensitivity to details, and improve the segmentation quality of the model. In order to verify the effectiveness of the model, a dolomite thin section database is established. The original Unet model, the Unet model with residual blocks and the algorithm in this paper are used to segment the ore facies, and the evaluation index is used to analyze the experimental results. The experimental results show that the accuracy, recall, harmonic mean and intersection and combination ratio of the improved Unet model are better than those of the improved network structure, and the segmentation effect is also significantly improved compared with the original algorithm model. It can accurately analyze the content of dolomite components through the characteristics of dolomite mineral facies." @default.
- W4386821802 created "2023-09-19" @default.
- W4386821802 creator A5012301761 @default.
- W4386821802 creator A5092893088 @default.
- W4386821802 date "2023-07-24" @default.
- W4386821802 modified "2023-09-26" @default.
- W4386821802 title "Research on Dolomite Mineral Facies Segmentation Algorithm Based on Improved UNet Network Structure" @default.
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- W4386821802 doi "https://doi.org/10.23919/ccc58697.2023.10240497" @default.
- W4386821802 hasPublicationYear "2023" @default.
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