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灰度图像匹配的快速算法

Fast Algorithm of Image Matching

  • 摘要: 提出了一种基于小波变换和投影特征的图像匹配的快速算法 先在若干级小波变换的低频图上利用投影特征、序贯相似性算法等手段得到一个可能的匹配点的集合,然后对该集合上的点在原图上作匹配运算,得出准确匹配位置 该算法大大提高了运算速度,同时又保持了匹配的精度,可以满足实时性的要求.

     

    Abstract: Wavelet transform and projection were referred to after wavelet transform projection and sequential similarity detection algorithm(SSDA) were applied to the low frequency part of the image to get a set of potential matching points, and then matching operation was done on the original image to get the right position. This method greatly improves the operation speed, while the precision remains fine, so it can be used for real-time matching.

     

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