Fast template matching algorithm based on boundary cross correlation and image integration
基于互相关边界特性和图像积分的快速模板匹配算法

A fast template matching algorithm was presented based on the theory of normalize cross correlation(NCC).With the goal of accelerating the matching speed and yielding exactly the same result as other matching methods,it is applied to calculate the similarity of bounded cross correlation and image integration.In this process,NCC must calculate cross correlation and self-correlation at each point.Self-correlation was calculated only first and then Holder inequality was applied.With the given threshold,it can ...