Optics and Precision Engineering, Volume. 32, Issue 23, 3525(2024)
Computed tomography image segmentation of cell pole piece via strip attention mechanism
Figures & Tables(14)
Fig. 1. Overall structure of cell pole piece segmentation network via strip attention mechanisn
Table 1. Parameter setting of microfocus industrial CT detector
View tableView in ArticleTable 1. Parameter setting of microfocus industrial CT detector
Parameter Values Radiation source type Hamamatsu L10321 microfocus ray source Detector type IRUI NDT0505J flat panel detector Detector pixel size/mm 0.1×0.1 Number of detector units/pixel 1 024×1 024 Tube voltage/kV 90 Tube current/μA 92
Table 2. Results of contrast experiment evaluation index
View tableView in ArticleTable 2. Results of contrast experiment evaluation index
Method mIoU/% mAcc/% FPS Parameters/M DeepLabV3+ 86.81 93.25 26.24 41.27 DANet 62.68 75.41 29.40 47.45 U-Net 86.19 91.20 31.17 28.99 HRNet 82.22 90.46 31.58 9.64 Segnext 64.08 79.14 69.41 4.22 Ours 89.97 95.92 56.94 7.81
Table 3. Results of ablation experiment evaluation index
View tableView in ArticleTable 3. Results of ablation experiment evaluation index
Method mIoU/% mAcc/% FPS DeepLabV3+ 86.81 93.25 26.24 +MobilenetV2 88.30 94.33 84.56 +MobilenetV2+S-ASPP 88.54 94.88 74.93 +MobilenetV2+S-ASPP+SA 89.97 95.92 56.94
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Zefang LIU, Chao LONG, Xueshuan LIU, Yan HAN, Chuandong TAN, Hui TAN, Liming DUAN. Computed tomography image segmentation of cell pole piece via strip attention mechanism[J]. Optics and Precision Engineering, 2024, 32(23): 3525
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Received: Jul. 28, 2024
Accepted: --
Published Online: Mar. 10, 2025
The Author Email: DUAN Liming (duanliming@cqu.edu.cn)
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