• Chinese Journal of Quantum Electronics
  • Vol. 35, Issue 2, 156 (2018)
Wei LIU1、* and Cunchen TANG2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3969/j.issn.1007-5461. 2018.02.005 Cite this Article
    LIU Wei, TANG Cunchen. Medical image fusion algorithm based on salient features coupling local extreme decomposition[J]. Chinese Journal of Quantum Electronics, 2018, 35(2): 156 Copy Citation Text show less
    References

    [1] Gaurav B, Jonathan Q M, et al. Human visual system inspired multi-modal medical image fusion framework[J]. Expert Systems with Applications, 2013, 40 (12): 1708-1720.

    [6] Jin Haiyan, Wang Yanyan. A medical images fusion algorithm based on contrast pyramid with teaching learning based optimization[J]. Physics and Technology, 2016, 64: 134-142.

    [10] Liu Yu, Chen Xun, Peng Hu. Multi-focus image fusion with a deep convolutional neural network[J]. Information Fusion, 2017, 3(7): 191-207.

    [11] Fan Xu, Xiu Yinsu. An enhanced infrared and visible image fusion method based on wavelet transform[C]. International Conference on Intelligent Human-Machine Systems and Cybernetics, 2013, 255: 453-456.

    [12] Du Jiao, Li Weisheng, Xiao Bin. Medical image fusion by combining parallel features on multi-scale local extrema scheme[J]. Knowledge-Based Systems, 2016, 32(10): 4-12.

    [13] Shen R, Cheng I, Basu A. Cross-scale coefficient selection for volumetric medical image fusion[J]. IEEE Trans. Biomed. Eng., 2013, 60 (4): 1069-1079.

    [15] Huang Hui, Feng Xi′an, Jiang Jionghui. Medical image fusion algorithm based on nonlinear approximation of Contourlet transform and regional features[J]. Journal of Electrical and Computer Engineering, 2017, 13(7): 1-9.

    LIU Wei, TANG Cunchen. Medical image fusion algorithm based on salient features coupling local extreme decomposition[J]. Chinese Journal of Quantum Electronics, 2018, 35(2): 156
    Download Citation