说明：  结合分级关键点互相关迭代法与搜索空间标记法,设计了一种有效提高图像相关匹配速度的算法。 其中分级关键点互相关迭代算法快速实现了由重要到不重要像素点的逐级迭代互相关匹配计算,算法在保 证精度的前提下可以随时结束并输出相关匹配值 而搜索空间标记法则能快速排除掉大量参数空间内不可 能匹配的点。实验证明,这种算法能在正确配准图像的前提下大幅度提高匹配速度。
(Combination of inter-related key points classification iteration method with search space notation, design an effective image correlation matching to improve the speed of the algorithm. One key point grading iterative cross-correlation algorithm for the rapid realization of important to unimportant by pixel matching level iterative cross-correlation calculation, the algorithm to ensure the accuracy of the premise can be concluded and the output value of the relevant search space matching tag rules quickly ruled out a large number of parameter space points can not be matched. Experiments show that this algorithm can be in the right image registration under the premise of substantial increase in matching speed.)