• Laser & Optoelectronics Progress
  • Vol. 58, Issue 20, 2017002 (2021)
He Zhao, Jinxiu Zhang*, and Zhenggang Zhang
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
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    DOI: 10.3788/LOP202158.2017002 Cite this Article Set citation alerts
    He Zhao, Jinxiu Zhang, Zhenggang Zhang. PCNN Medical Image Fusion Based on NSCT and DWT[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2017002 Copy Citation Text show less
    Decomposition process of NSCT
    Fig. 1. Decomposition process of NSCT
    Flow chart of the proposed algorithm
    Fig. 2. Flow chart of the proposed algorithm
    Simplified model of neuron in PCNN
    Fig. 3. Simplified model of neuron in PCNN
    Framework chart of low frequency subband component fusion
    Fig. 4. Framework chart of low frequency subband component fusion
    CT/MRI source images and image fusion results by different algorithms
    Fig. 5. CT/MRI source images and image fusion results by different algorithms
    Flow chart of MRI/PET image fusion
    Fig. 6. Flow chart of MRI/PET image fusion
    MRI/PET source images and image fusion results by different algorithms
    Fig. 7. MRI/PET source images and image fusion results by different algorithms
    MethodIEAGSFSD
    Algorithm 16.54986.852516.559358.6421
    Algorithm 26.32696.402316.847050.7436
    Algorithm 35.85164.75609.414943.6581
    Proposed algorithm6.84157.231617.129657.6361
    Table 1. Evaluation indicators for the first group of images
    MethodIEAGSFSD
    Algorithm 14.72029.906130.845284.4055
    Algorithm 24.64709.323432.109485.0626
    Algorithm 34.31317.292127.369463.1978
    Proposed algorithm5.030210.168531.472287.0621
    Table 2. Evaluation indicators for the second group of images
    MethodIEAGSFSD
    Algorithm 14.90447.552527.570482.8691
    Algorithm 24.52088.294527.827580.7933
    Algorithm 34.09435.273925.489277.2424
    Proposed algorithm5.11429.411930.458885.5517
    Table 3. Evaluation indicators for the third group of images
    MethodIEAGSFSD
    Algorithm 14.586010.352930.266681.3725
    Algorithm 24.58377.871826.186485.1571
    Algorithm 34.41346.447617.872969.2850
    Proposed algorithm4.818710.376831.367187.9695
    Table 4. Evaluation indicators for the fourth group of images
    MethodIEAGSFSD
    Algorithm 14.82327.448124.395178.2887
    Algorithm 24.69656.685722.819568.1525
    Algorithm 34.59104.809418.847273.4640
    Proposed algorithm5.39868.181521.168479.0407
    Table 5. Evaluation indicators for the fifth group of images
    MethodIEAGSFSD
    Algorithm 14.27148.927928.309168.3905
    Algorithm 34.23996.372922.793971.8809
    Algorithm 34.02715.591616.286653.8390
    Proposed algorithm4.43429.024226.796975.2246
    Table 6. Evaluation indicators for the sixth group of images
    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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