稀疏分解和图拉普拉斯正则化的图像前景背景分割方法
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谭婷芳,蔡万源,蒋俊正
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Image foreground-background segmentation method based on sparse decomposition and graph Laplacian regularization
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Tingfang TAN,Wanyuan CAI,Junzheng JIANG
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表 2 不同方法在MSRA数据集上的分割性能对比 |
Tab.2 Comparison of segmentation performance of different methods on MSRA dataset % |
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方法 | 图2的第1张测试图 | | 图2的第2张测试图 | | 图2的第3张测试图 | | 图2的第4张测试图 | | | 平均值 | | P | R | F1 | | P | R | F1 | | P | R | F1 | | P | R | F1 | | P | R | F1 | LRSD | 75.56 | 77.96 | 76.74 | | 81.47 | 84.50 | 82.96 | | 84.44 | 83.77 | 84.10 | | 88.13 | 94.93 | 91.40 | | 82.40 | 85.29 | 83.80 | LAD | 50.99 | 68.14 | 58.33 | | 84.65 | 77.17 | 80.74 | | 58.45 | 58.09 | 58.27 | | 62.50 | 61.15 | 61.82 | | 64.15 | 66.14 | 64.79 | SDTVM | 56.09 | 82.27 | 66.63 | | 83.26 | 72.76 | 77.65 | | 41.64 | 52.91 | 46.61 | | 42.93 | 72.81 | 54.01 | | 55.98 | 70.19 | 61.23 | SR | 83.02 | 85.71 | 84.35 | | 5.85 | 40.86 | 10.24 | | 78.57 | 79.25 | 78.91 | | 82.39 | 80.05 | 81.20 | | 62.46 | 71.47 | 63.68 | SD-GFT | 89.42 | 86.81 | 88.10 | | 94.77 | 87.53 | 91.01 | | 85.34 | 80.09 | 82.63 | | 94.04 | 57.33 | 71.23 | | 90.89 | 77.94 | 83.24 | SDGLR | 91.53 | 89.78 | 90.64 | | 94.79 | 87.53 | 91.01 | | 91.13 | 84.71 | 87.80 | | 94.05 | 57.50 | 71.37 | | 92.88 | 79.88 | 85.21 |
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