关键词： 脉冲耦合神经网络；图像分割；图像互信息熵 [gap=912]Key words】 Pulse Coupled Neural Network(PCNN); image segmentation; image mutual information entropy
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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。
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。
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