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Automatic Recognition of Coded-pattern Sequence by Using Image Cross-Correlation

机译:利用图像互相关自动识别编码模式序列

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摘要

In order to solve the problem of automatic target recognition in photogrammetry, a method of recognition for coded-pattern sequence by using image cross-correlation is presented. Coded-pattern sequences are a series of patterns that posses unique identification information, which will be extracted to realize recognition. The concrete operation is to do cross-correlation of the real pattern image and the fictitious templet image of every possible pattern. The basis of this method is the theory of signal processing that the operation of cross-correlation can detect the resemblance of signals with different offset. The result of experiment shows that this method is applicable in many situations and also has the characteristics of high accuracy and high speed.
机译:为了解决摄影测量中的目标自动识别问题,提出了一种利用图像互相关的编码模式序列识别方法。编码模式序列是具有唯一标识信息的一系列模式,这些信息将被提取以实现识别。具体的操作是对实际图案图像和每个可能图案的虚拟模板图像进行互相关。该方法的基础是信号处理理论,互相关运算可以检测具有不同偏移量的信号的相似性。实验结果表明,该方法适用于多种场合,具有精度高,速度快的特点。

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