Optics and Precision Engineering, Volume. 32, Issue 16, 2550(2024)
Local region image segmentation by fusion of statistical norm metrics
Figures & Tables(12)
Table 1. Iterations and running time （s） of the images in Fig. 7
View tableView in ArticleTable 1. Iterations and running time （s） of the images in Fig. 7
Index Image1 Image2 Image3 Image4 Image5 Image6 Method Iter/Times Iter/Times Iter/Times Iter/Times Iter/Times Iter/Times LBF 432/46.203 1 345/85.906 3 418/67.781 3 218/44.859 4 332/79.593 8 373/38.531 3 LIF 700/3.834 1 843/9.326 5 792/5.960 2 857/9.385 5 821/9.016 4 800/4.474 8 FACM 140/7.007 1 186/13.302 1 197/10.721 7 217/15.367 2 227/15.875 2 212/9.876 0 LSACM 60/38.848 8 86/132.267 8 66/70.073 3 76/116.128 6 60/90.687 1 68/48.262 5 ABC 225/9.536 9 320/30.591 8 430/31.581 3 420/40.912 7 400/39.328 9 350/17.102 2 GFLIF 100/6.087 2 125/8.295 8 130/8.676 7 140/9.652 4 145/9.768 2 150/9.899 0 HLFRA 140/6.552 8 175/9.547 6 192/9.382 2 183/9.982 2 200/11.111 9 212/9.862 4 LSE-ADMM 400/3.557 3 468/7.596 5 512/5.655 0 475/7.807 2 543/8.912 2 540/4.160 2 LPF 190/4.397 0 410/14.121 3 425/8.581 3 476/13.620 5 389/13.315 9 428/7.299 6 FRAGL 240/10.158 2 265/13.241 4 278/11.931 3 252/12.221 2 315/15.286 6 300/12.357 0 SAB 40/3.137 4 40/6.639 7 32/3.786 6 20/3.035 0 40/5.822 4 20/1.831 7
Table 2. Comparative results of objective evaluation indicators
View tableView in ArticleTable 2. Comparative results of objective evaluation indicators
Evaluation indicators DC FP JCS P TP Image ID ABC SAB ABC SAB ABC SAB ABC SAB ABC SAB Image1 0.882 2 0.980 5 0.066 8 0.002 2 0.789 2 0.961 7 0.926 5 0.997 7 0.841 9 0.963 9 Image2 0.894 1 0.985 2 0.194 9 0.006 9 0.808 4 0.970 8 0.832 1 0.993 0 0.966 0 0.977 4 Image3 0.719 6 0.987 6 0.369 8 0.004 1 0.562 0 0.975 6 0.675 5 0.995 8 0.769 9 0.979 6 Image4 0.916 0 0.986 3 0.024 4 0.009 5 0.844 9 0.973 1 0.972 6 0.990 4 0.865 6 0.982 4 Image5 0.502 8 0.985 7 0.401 3 0.003 4 0.335 8 0.971 7 0.539 7 0.996 5 0.470 5 0.975 1
Table 3. DSC and IoUs of fours images in Fig. 9 by eleven models（DSC/JCS）
View tableView in ArticleTable 3. DSC and IoUs of fours images in Fig. 9 by eleven models（DSC/JCS）
Methods #1 #2 #3 #4 LBF 0.535 1 0.365 3 0.533 3 0.363 6 0.782 3 0.643 6 0.600 9 0.429 5 LIF 0.157 1 0.085 2 0.036 7 0.018 7 0.202 5 0.112 7 0.210 2 0.117 4 FACM 0.967 1 0.936 4 0.658 2 0.490 6 0.921 4 0.854 2 0.969 6 0.941 0 LSACM 0.438 1 0.280 5 0.816 1 0.689 4 0.877 8 0.782 2 0.679 5 0.514 5 ABC 0.769 0 0.624 6 0.900 3 0.818 7 0.870 1 0.770 1 0.841 6 0.726 5 GFLIF 0.957 1 0.917 7 0.977 4 0.955 8 0.859 9 0.754 2 0.862 4 0.758 0 HLFRA 0.947 9 0.901 0 0.987 5 0.975 4 0.877 8 0.782 2 0.878 7 0.783 6 LSE-ADMM 0.596 9 0.425 4 0.958 0 0.919 4 0.888 5 0.799 4 0.896 8 0.812 9 LPF 0.152 8 0.082 7 0.451 2 0.291 3 0.798 9 0.665 2 0.660 1 0.492 7 FRAGL 0.226 2 0.127 5 0.822 7 0.698 9 0.409 6 0.257 6 0.595 6 0.424 1 SAB 0.990 9 0.981 9 0.990 0 0.980 1 0.995 0 0.990 1 0.995 8 0.991 7
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Gengsheng LI, Guojun LIU. Local region image segmentation by fusion of statistical norm metrics[J]. Optics and Precision Engineering, 2024, 32(16): 2550
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Received: Mar. 22, 2024
Accepted: --
Published Online: Nov. 18, 2024
The Author Email: LIU Guojun (liugj@nux.edu.cn)
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