...式的表面高低起伏状态，对表面整体形象的分析得到样品表面的粗糙度(roughness)、颗粒度（granularity）、平均梯度（step height）、孔结构和孔径分布等参数，获得样品的压弹性、粘弹性、硬度等物理属性。
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Then typical existent fusion algorithms based on orthogonal and redundant wavelet transform are summarized. Standard deviation, entropy and average grads are advised to be the objective evaluation parameters.
然后总结了现有典型的基于正交小波变换的像素级融合算法和基于冗余小波变换的图象融合算法，使用了标准差、信息熵和平均梯度三个标准作为融合结果的客观评价参数，并从理论上分析了各种算法的优劣。
参考来源 - 基于小波分析与无监督分类的多源遥感图象信息融合·2,447,543篇论文数据，部分数据来源于NoteExpress
仿真试验说明：改进后的权重插值算法优于原先的算法，最后用平均梯度进行了性能评价。
The simulation results show that the improved power interpolation is better than the original algorithms, and the performance is evaluated with the mean grade finally.
医学图像融合的效果评价方法有很多，如信息熵、 互信息、均方值、峰值信噪比和平均梯度等。
There are many kinds of image fusion methods, such as information entropy, mutual information, mean square error, peak signal to noise ratio and mean grads.
使用由方差和平均梯度构造的新的评价因子——小波邻域信息量作为融合规则选取小波高频系数。
For the image high-frequency part, use the new evaluation factor - wavelet neighborhood information to choose the ultimate wavelet high-frequency coefficients.
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