与传统金字塔方法相比较，基于小波变换的融合算法能够很好地保持图像的信息，提取源图像信息的能力更强，具有广阔的应用前景。

Compared with the traditional pyramid decomposition, the fusion scheme based on wavelet is more capable to retain and pick up image information and has a greater application potential.

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离散分数随机变换谱分布的随机性和均一性保证了良好的信息保持度。

Spectrum distribution of DFRNT is random and uniform, which guarantees that good information is reserved.

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实验结果表明此方法是可行的，既减少了分水岭变换的过分割现象，又较好地保持了图像中的边缘信息，能得到良好的分割效果。

The experimental results show that the proposed method is feasible and can give better image segmentation. It does not only avoid the over-segmentation, but also preserves the edge information.

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