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A novel medical image fusion approach based on fractional wavelets transform

机译:一种基于分数小波变换的新型医学图像融合方法

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Multi-modal image fusion is a process of integrating complementary information from multiple images of different scene. A novel medical image fusion algorithm based on the fractional wavelets transform (FRWT) is proposed in this paper. The method is implemented to fractional wavelets transform to get high-pass and low-pass wavelets coefficients. Then according to the different frequency fusion rules combine the coefficients to obtain the fused image. The performance of the proposed fusion method is assessed by experiment, and the results indicate the proposed method outperforms the traditional approaches.
机译:多模态图像融合是从不同场景的多个图像集成互补信息的过程。本文提出了一种基于小波变换(FRWT)的新型医学图像融合算法。该方法用于分数小波变换以获得高通和低通小波系数。然后根据不同的频率融合规则组合系数以获得融合图像。通过实验评估所提出的融合方法的性能,结果表明所提出的方法优于传统方法。

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