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。
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.
实验表明该算法获得的图像匹配结果较传统算法在颜色相似度和细节保持方面均有明显的提高。
Experiments show that the proposed algorithm has obvious advantage over traditional ones, especially in color difference and image details.
提出一种多尺度的时间序列相似模式匹配算法。
This paper proposed a multi scale similar pattern match approach for Times Series Databases.
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