然后根据这种算法进行垂直边界匹配来从输入的灰度图像中识别车牌。

Then a vertical edge matching based algorithm recognizes license-plate from input gray-scale image.

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算法通过分析帧间的SURF特征点匹配数目随时间变化的性质来检测镜头边界。

The algorithm detects the shot boundary by analyzing the nature that the matching number of SURF feature points of frames change over time.

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针对边界部分有重叠的图象，提出了一种基于网格匹配的快速对准算法，并通过平滑因子对图象实现了无缝拼接。

In this paper, we present a fast stitching algorithm for the overlapping images based on grid matching, which makes images matching correctly, stitching images seamless and smooth.

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