针对目前亚像素精度图像匹配算法中存在的匹配精度不高和匹配速度慢的缺点,对基于灰度的归一化互相关算法进行了改进,提出动态调整匹配区域范围的自适应方法,既保证了亚像素级匹配精度,又提高了运算速度.实验证明,改进后的算法,在保证0.2个像素匹配精度的条件下,匹配速度大大提高,能够满足实际应用中的实时性要求.%In view of the disadvantages of the low matching accuracy and the slow speed of the matching accuracy in the sub-pixel accuracy image matching algorithm,the normalized cross correlation algorithm based on gray scale is im-proved,an adaptive method for dynamically adjusting the range of matching regions is proposed,it can not only ensure the accuracy of sub-pixel level matching, but also improve the operation speed. Experimental results:Improved algo-rithm,both ensuring the accuracy of 0.2 pixels matching,and improving the operation speed,Be able to meet the re-al-time requirements of the practical application.
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