基于NSCT与DWT的PCNN医学图像融合 
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PCNN Medical Image Fusion Based on NSCT and DWT
兰州交通大学电子与信息工程学院, 甘肃 兰州 730070
图 & 表
图 1. NSCT分解过程
Fig. 1. Decomposition process of NSCT
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图 2. 所提算法流程图
Fig. 2. Flow chart of the proposed algorithm
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图 3. PCNN神经元简化模型
Fig. 3. Simplified model of neuron in PCNN
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图 4. 低频子带分量融合框架图
Fig. 4. Framework chart of low frequency subband component fusion
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图 5. CT/MRI源图像及不同算法的图像融合结果
Fig. 5. CT/MRI source images and image fusion results by different algorithms
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图 6. MRI/PET图像融合流程图
Fig. 6. Flow chart of MRI/PET image fusion
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图 7. MRI/PET源图像及不同算法的图像融合结果
Fig. 7. MRI/PET source images and image fusion results by different algorithms
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表 1第一组图像的评价指标
Table1. Evaluation indicators for the first group of images
| Method | IE | AG | SF | SD |
|---|
| Algorithm 1 | 6.5498 | 6.8525 | 16.5593 | 58.6421 | | Algorithm 2 | 6.3269 | 6.4023 | 16.8470 | 50.7436 | | Algorithm 3 | 5.8516 | 4.7560 | 9.4149 | 43.6581 | | Proposed algorithm | 6.8415 | 7.2316 | 17.1296 | 57.6361 |
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表 2第二组图像的评价指标
Table2. Evaluation indicators for the second group of images
| Method | IE | AG | SF | SD |
|---|
| Algorithm 1 | 4.7202 | 9.9061 | 30.8452 | 84.4055 | | Algorithm 2 | 4.6470 | 9.3234 | 32.1094 | 85.0626 | | Algorithm 3 | 4.3131 | 7.2921 | 27.3694 | 63.1978 | | Proposed algorithm | 5.0302 | 10.1685 | 31.4722 | 87.0621 |
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表 3第三组图像的评价指标
Table3. Evaluation indicators for the third group of images
| Method | IE | AG | SF | SD |
|---|
| Algorithm 1 | 4.9044 | 7.5525 | 27.5704 | 82.8691 | | Algorithm 2 | 4.5208 | 8.2945 | 27.8275 | 80.7933 | | Algorithm 3 | 4.0943 | 5.2739 | 25.4892 | 77.2424 | | Proposed algorithm | 5.1142 | 9.4119 | 30.4588 | 85.5517 |
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表 4第四组图像评价指标
Table4. Evaluation indicators for the fourth group of images
| Method | IE | AG | SF | SD |
|---|
| Algorithm 1 | 4.5860 | 10.3529 | 30.2666 | 81.3725 | | Algorithm 2 | 4.5837 | 7.8718 | 26.1864 | 85.1571 | | Algorithm 3 | 4.4134 | 6.4476 | 17.8729 | 69.2850 | | Proposed algorithm | 4.8187 | 10.3768 | 31.3671 | 87.9695 |
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表 5第五组图像评价指标
Table5. Evaluation indicators for the fifth group of images
| Method | IE | AG | SF | SD |
|---|
| Algorithm 1 | 4.8232 | 7.4481 | 24.3951 | 78.2887 | | Algorithm 2 | 4.6965 | 6.6857 | 22.8195 | 68.1525 | | Algorithm 3 | 4.5910 | 4.8094 | 18.8472 | 73.4640 | | Proposed algorithm | 5.3986 | 8.1815 | 21.1684 | 79.0407 |
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表 6第六组图像评价指标
Table6. Evaluation indicators for the sixth group of images
| Method | IE | AG | SF | SD |
|---|
| Algorithm 1 | 4.2714 | 8.9279 | 28.3091 | 68.3905 | | Algorithm 3 | 4.2399 | 6.3729 | 22.7939 | 71.8809 | | Algorithm 3 | 4.0271 | 5.5916 | 16.2866 | 53.8390 | | Proposed algorithm | 4.4342 | 9.0242 | 26.7969 | 75.2246 |
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赵贺, 张金秀, 张正刚. 基于NSCT与DWT的PCNN医学图像融合[J]. 激光与光电子学进展, 2021, 58(20): 2017002. He Zhao, Jinxiu Zhang, Zhenggang Zhang. PCNN Medical Image Fusion Based on NSCT and DWT[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2017002.
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