A Multi-Resolution Medical Image Fusion Method Based on Nonparametric Orthogonal Polynomials
LIU Zhe1,2, SONG Yu-Qing1, CHEN Jian-Mei1, YAN Yan-Hua1, XIE Cong-Hua1
1.School of Computer Science and Telecommunication Engineering,Jiangsu University,Zhenjiang 212013 2.School of Computer Science,Jilin Normal University,Siping 136000
Abstract：Image fusion algorithms based on estimation theory assume that all distortions should follow Gaussian distribution, which causes model mismatch, local details losing and time-consuming. A medical image fusion algorithm is presented based on multi-resolution and nonparametric orthogonal polynomials. Firstly, the source images are decomposed into multi-resolution representations. Then, the NEM algorithm is used to estimate the parameters of the image information model and the non-parametric orthogonal polynomials image mixture model. Thus, the fusion result of low frequency band image is got. For the high frequency band image, the maximum absolute value of the coefficient is applied. Finally, the fused image is obtained by taking the inverse transformation of the composed coefficients. The experimental results show that the proposed algorithm achieves better performance than other fusion methods and the fusion time is considerably reduced.
刘哲，宋余庆，陈健美，晏燕华，谢从华. 基于多分辨率的非参数正交多项式医学图像融合方法[J]. 模式识别与人工智能, 2012, 25(2): 300-304.
LIU Zhe, SONG Yu-Qing, CHEN Jian-Mei, YAN Yan-Hua, XIE Cong-Hua. A Multi-Resolution Medical Image Fusion Method Based on Nonparametric Orthogonal Polynomials. , 2012, 25(2): 300-304.
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2012, Vol. 25 
