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。
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。
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