Generalized Cross-Correlation Algorithm 广义互相关算法
Real-Time Normalized Cross Correlation Algorithm 实时的归一化相关匹配算法
In the feature point extraction of drainpipe, this paper uses the corner extraction algorithm to extract characteristic points in each image, and uses Normalized Cross-Correlation algorithm to select and match.
在排水管道特征点提取方面,采用角点提取算法提取每幅图像的特征点,然后用归一化互相关算法进行特征点筛选与匹配。
参考来源 - 管道视觉检测技术的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
First, the principle of the correlation tracking algorithm was analyzed, and the normalized cross-correlation algorithm was taken as the research object.
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。
The polarity cross-correlation algorithm to accelerate computation process of the system and the SOPC scheme of velocity measurement system based on FPGA are realized.
利用FPGA实现了极性互相关算法，提高了系统的运算速度，并用FPGA实现了整个测速系统的SOPC方案；
The consistency registration algorithm, which used local cross correlation coefficient as the similarity metric, was proposed.
提出一种利用局部互相关系数作为相似性测度的灰度一致性配准算法。
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