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1)  normalized intensity combination
归一化灰度组合相关法
1.
A new matching method combing normalized intensity combination method and wavelet multi-resolution layer matching is presented and proved by experiments.
提出了一种基于小波分层算法的快速图像匹配方法,首先利用小波变换的多分辨率特性将原图分解为若干级别,并保留其低频部分,然后在各层用归一化灰度组合相关法(NIC)作为相似性度量得到匹配位置,最后给出了实验结果并指出了存在的问题。
2)  normalized correlation algorithm
归一化相关算法
3)  intensity normalization
灰度归一化
1.
In this paper, a novel pretreatment approach of intensity normalization based on polynomial least squares fitting has been implemented to match the intensity between the images, and an accelerating algorithm for adaptively adjusting the deformation force of the floating image during the iterative process has been designed to speed up the process of convergence.
针对这两个问题,提出了一种基于多项式最小二乘拟合的灰度归一化方法对灰度进行匹配,并在迭代过程中自适应调整浮动图像所受作用力以加快收敛速度。
4)  Normalized edge magnitude cross correlation
归一化边缘强度互相关
5)  Normalizated product correlation algorithm
归一化积相关算法
6)  mean-residual normalized correlation method
去均值归一化相关法
1.
Based on the introduction of sequential similarity detection algorithm,invariant moment and mean-residual normalized correlation method,a new matching method which based on mean-residual normalized correlation method is presented.
文本讨论了常用图像匹配算法,在介绍了序贯相似性检测法、不变矩法及去均值归一化相关法的基础上,提出了一种以去均值归一化相关法为主的改进匹配算法,该改进算法不但在处理旋转目标的匹配时具有较高的精度,而且通过改进其搜索策略,使改进算法具有了算法速度快、误匹配率低的优点。
补充资料:归一化法
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性质:一种色谱定量计算方法。当试样中全部组分都显示出色谱峰时,测量的全部峰值经相应的校正因子校准并归一后,计算每个组分的百分含量的方法。

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