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。
Based on the theory of maximum entropy, MEFS USES mutual information and Z-test technologies, and takes two-step method to execute feature selection.
MEFS在基于最大熵原理的基础上，运用互信息和Z -测试技术，采用两步方法进行空间特征选择。
Based on information entropy and mutual information, we proposed the definition of nonlinear partial autocorrelation.
本文在信息熵和互信息的基础上，提出了非线性偏自相关的定义。
The basic concepts of uncertainty, information entropy, united entropy, term entropy and mutual information were introduced briefly.
简要地介绍了不确定性、信息熵、联合熵、条件熵、互信息的基本概念。
Compared with the evaluation method of entropy and joint entropy, it was shown that mutual information was a good evaluation criterion.
通过将它与采用熵和联合熵的评价方法相比较，实验结果表明交互信息量是一种很好的评价方法。
Most of existing fuzzy information entropy definitions are reviewed before fuzzy mutual entropy and information transmission index are introduced for the first time.
在回顾了大多数模糊性的信息熵度量定义之后，首次定义了模糊互熵和信息传输指数等新概念。
The four kinds of feature selection statistics include Chi-square, information gain, and mutual information and cross entropy, and the four corresponding feature sets are obtained.
这四种特征选择采用的统计方法是：卡方、信息增益、互信息、交叉熵。
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。
Weighted entropy instead of Shannon entropy to compute the mutual information is proposed in this paper, and it has been used in medical image registration experiment.
提出了一种用加权熵代替香农熵的互信息计算方法，并将其应用于图像配准实验。
The method "s performance is evaluated by using the entropy, cross-entropy, mutual information, error of mean square root and peak signal to noise ratio."
并采用熵、交叉熵、互信息、均方根误差和峰值信噪比等指标对该方法进行了客观评价。
The method "s performance is evaluated by using the entropy, cross-entropy, mutual information, error of mean square root and peak signal to noise ratio."
并采用熵、交叉熵、互信息、均方根误差和峰值信噪比等指标对该方法进行了客观评价。
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