fig11

Deep learning for enhanced porosity detection in AZ91 magnesium alloys using windowed perception and aggregated sensing

Figure 11. Comparison of the segmentation results of different methods. The images (A) to (D) are the results obtained using the AttU-Net method. Images (E) to (H) show the segmentation outcomes from TransUNet. The UNet method’s results are displayed in images (I) to (L). Finally, images (M) to (P) present the segmentation results from this work.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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