区域匹配中最常用的算法是归一化互相关方法。
The normalized cross correlation algorithm is a in common use method of the area matching.
在景象匹配过程中，选用归一化互相关系数作为相似性度量。
During the process, the normalized cross correlation function is used as the similarity measure.
提出一种基于归一化互相关系数的图像序列运动目标检测方法。
A new method for image sequence object detection based on the normalized cross correlation coefficient is proposed.
然后利用归一化互相关匹配法和概率支撑法对特征点进行匹配。
Then, normalized cross-correlation matching and probability support matching method are used to match the images feature points.
首先，对相关算法进行了分析，选取归一化互相关积算法作为研究对象。
First, the principle of the correlation tracking algorithm was analyzed, and the normalized cross-correlation algorithm was taken as the research object.
在电视目标跟踪系统中，图像的匹配识别也占有关键的地位，本文采用了归一化互相关法和SSDA加速算法进行图像匹配。
In a TV target tracing system, image matching recognition also play an important part. This thesis applies correlation and SSDA acceleration algorithm to image matching.
概率成像方法是利用测量的地面电场与电场扫描函数进行归一化的互相关运算，从而对地下电荷进行定位。
Probability tomography, as a new potential approach of geophysical interpretation, is based on the relation between the measured surface electric field and the scanning function.
概率成像方法是利用测量的地面电场与电场扫描函数进行归一化的互相关运算，从而对地下电荷进行定位。
Probability tomography, as a new potential approach of geophysical interpretation, is based on the relation between the measured surface electric field and the scanning function.
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