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.
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。
They use entropy and spatial frequency to evaluate the fusion result of their method and perform a comparison with the Laplacian based and the wavelet based image fusion methods.
最后利用熵和空间频率对该方法的融合性能进行了评估分析，并与基于拉普拉斯变换和小波变换的图像融合方法进行了比较。
A novel method based on gradient strength and local entropy for fusion detection of weak small targets with low contrast is presented in this paper.
提出了一种基于局部梯度强度和局部熵的红外小目标融合检测的方法。
Objective parameters of evaluating the fusion performance are provided via entropy and cross entropy. Comparisons of performance of Brushlet-based and wavelet-based fusion methods are provided.
对普通图像、航拍图像和医学图像分别进行融合操作，并将融合结果与已知图像的熵和交叉熵作为客观评价指标，与相应小波融合方法进行了比较。
According to the definition of the information fusion entropy, two theorems on the efficiency of information fusion and on maximum compression of fusion entropy are presented and testified.
依据对信息融合熵的定义，提出并证明了信息融合的有效性和熵最大压缩两定理。
According to the different functions of different regions during the process of fusion in the image fusion, the concept of image region entropy was put forward.
针对图像融合中不同区域在融合中的不同作用，给出了图像区域熵的概念，在此基础上提出了一种基于最大区域熵值的图像融合方法。
The methods of the evaluation of image fusion, which includes: entropy, cross entropy, mutual information, mean square error, root mean square error, peak-to-peak signal-to-noise ratio were presented.
介绍了图像融合的各种评价方法，包括：熵、交叉熵、交互信息量、均方误差、均方根误差、峰值信噪比。
We used the mechanical health degree to compute the information fusion entropy value of mechanical characteristic parameter and mechanical failure diagnosis.
用机械健康度定量度量机械状态的优劣，给出机械特征参数提取和机械故障诊断时信息融合的计算方法。
In addition, with the use of the parameters such as entropy, average of image, root mean square error, peak signal-to-noise ratio, the performance of the fusion scheme is evaluated and analyzed.
此外，利用熵、图像均值、均方根误差、峰值信噪比等参量对该融合方法的融合性能进行评价与分析。
In addition, with the use of the parameters such as entropy, average of image, root mean square error, peak signal-to-noise ratio, the performance of the fusion scheme is evaluated and analyzed.
此外，利用熵、图像均值、均方根误差、峰值信噪比等参量对该融合方法的融合性能进行评价与分析。
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