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Fast image matching algorithm based on projection characteristics

机译:基于投影特征的快速图像匹配算法

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Based on analyzing the traditional template matching algorithm, this paper identified the key factors restricting the speed of matching and put forward a brand new fast matching algorithm based on projection. Projecting the grayscale image, this algorithm converts the two-dimensional information of the image into one-dimensional one, and then matches and identifies through one-dimensional correlation, meanwhile, because of normalization has been done, when the image brightness or signal amplitude increasing in proportion, it could also perform correct matching. Experimental results show that the projection characteristics based image registration method proposed in this article could greatly improve the matching speed, which ensuring the matching accuracy as well.
机译:在分析传统模板匹配算法的基础上,确定了制约匹配速度的关键因素,提出了一种基于投影的全新快速匹配算法。该算法对灰度图像进行投影,将图像的二维信息转换为一维信息,然后通过一维相关进行匹配和识别,同时由于进行了归一化,当图像亮度或信号幅度增大时按比例,它也可以执行正确的匹配。实验结果表明,本文提出的基于投影特征的图像配准方法可以大大提高匹配速度,同时也保证了匹配精度。

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