1) first-order mutual information
一阶互信息
2) second-order MI
二阶互信息
1.
In this paper, we studied the influence of grey levels and neighborhood information on the technology of image registration based on second-order MI from some experiments, getting the best grey levels and neighborhood information to improve this technology.
着重分析讨论了灰度级别、邻域信息对基于二阶互信息的配准技术的影响,通过实验分析得到在PV插值基础上最佳的灰度级别、邻域信息,从而改进了基于二阶互信息的配准技术,并借助分析噪声对配准的影响来解释相关结论。
3) normalized mutual information
归一化互信息
1.
Improved Medical Image Registration Algorithm Based on Maximization of Normalized Mutual Information;
改进的基于最大归一化互信息的医学图像配准算法
2.
Further,studies the method of normalized mutual information.
在此基础上对比研究了归一化互信息配准法。
3.
In rigid registration algorithms based on normalized mutual information, the similarity metric function gets trapped into local minimums easily during searching process, so an improved.
基于归一化互信息的刚性医学图像配准中,相似性测度函数容易在搜索过程中陷入局部极值而得到错误的配准结果,本文对PSO搜索算法进行了改进,引入了非线性权值递减策略来增强算法的搜索能力,并通过聚集度分析和变异策略来克服局部极值。
4) normal mutual information (NMI)
归一化互信息(NMI)
5) normalized mutual information entropy
归一化互信息熵
6) integrative information exchanging
一体化信息交互
1.
To solve puzzles when ISPoJW has confronted in large-scale and complex inter-networks, especially, integrative information exchanging has become the choke point of the wide use of ISPoJW.
为解决作战仿真平台在大规模复杂网络中的应用出现诸多难题,尤其是一体化信息交互IIE成为制约平台大规模应用的瓶颈,必须按照先进的网络服务架构思想对原有平台进行改造。
补充资料：互信息
见信息量。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条