The normalized cross correlation algorithm is a in common use method of the area matching.
区域匹配中最常用的算法是归一化互相关方法。
Then, normalized cross-correlation matching and probability support matching method are used to match the images feature points.
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。
The result which has the maximum reliability was obtained through the matching between the regions which contain the feature points based on cross correlation theory.
通过局部特征点所在区域的相关匹配，获得具有最大可信度的匹配结果。
A new template matching algorithm, which based on the difference of cross correlation function, is proposed.
为此本文提出一种基于互相关函数差值的模板匹配算法。
A new template matching algorithm, which based on the difference of cross correlation function, is proposed.
为此本文提出一种基于互相关函数差值的模板匹配算法。
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