In our experiment, it is proved to be effective after comparing with the conventional sequential similarity detection algorithm (SSDA).
在实验中，与传统的序贯相似性检测算法(SSDA)作了比较，证明了本文算法的有效性。
The sequential similarity detection algorithm (SSDA) is applied to image matching because the calculating work is considerable by using the algorithm of common template matching.
SSDA算法(序贯相似性检测)是针对一般模板匹配算法计算量大而提出的减少计算量的误差累计算法。
By comparison, Sequential Similarity Detection algorithm bears the characteristics of speedy calculation, accurate orientation and anti-jamming, which is fit for the high requirement in industry.
经实验对比发现，序贯相似检测算法具有较高的计算速度、定位精度，比较适合于高要求的工业应用中。
By comparison, Sequential Similarity Detection algorithm bears the characteristics of speedy calculation, accurate orientation and anti-jamming, which is fit for the high requirement in industry.
经实验对比发现，序贯相似检测算法具有较高的计算速度、定位精度，比较适合于高要求的工业应用中。
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