基于剪切波变换的医学图像融合算法

doi:10.3969/j.issn.0258-8021. 2013. 03.05

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Abstract Shearlet transform is a novel multiscale geometric analysis tool that has many virtue such as multiresolution, multidirectional, high efficiency and has unique advantages compared with the wavelet transform, curvelet transform and contourlet transform. This paper proposed a novel fusion method for medical image based on shearlet transform. First, two original images were decomposed into different frequency sub-band coefficients by using shearlet. Next, the selection of the lowfrequency sub-band coefficient and the high-frequency directional sub-band coefficient were discussed. The method based on non-negative matrix factorization（NMF）was used to fuse the low-frequency sub-band coefficient, and for the high-frequency directional sub-band coefficient, this paper proposed a maximum visual energy contrast method that chose coefficient based on the local contrast and the sum of local regional energy after studying the human visual characteristics closely. At last, the fused image was obtained by performing the inverse shearlet on the combined coefficients. The proposed fusion method was compared with the other three fusion methods in two sets of experiments, and four of the five objective evaluation indicators also have reached the optimal value. In conclusion, the proposed fusion method has a considerable improvement in subjective fusion quality and objective evaluation

Key words： medical image ;image fusion shearlet non-negative matrix factorization human visual system

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	ADU Jian Hua^*WANG Bang Ping WANG Ke WANG Yan

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ADU Jian Hua^*WANG Bang Ping WANG Ke WANG Yan. An Algorithm of Medical Image Fusion Based on Shearlet Transformation[J]. journal1, 2013, 32(3): 284-291.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021. 2013. 03.05 OR http://cjbme.csbme.org/EN/Y2013/V32/I3/284

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