CAJ | 학술논문

针对传统互信息图像匹配方法中因灰度概率分布计算量大而导致匹配速度慢的问题，提出一种增量式灰度统计的图像匹配新方法。该方法在初始待匹配子图概率分布统计表的基础上，经过增量式计算避免了相邻图像块中灰度概率统计的重复性操作，大大减少了图像匹配过程中的概率统计的运算量。实验结果证明了该算法在保持互信息图像匹配优势的同时，提高了图像匹配的速度。
침대전통호신식도상필배방법중인회도개솔분포계산량대이도치필배속도만적문제，제출일충증량식회도통계적도상필배신방법。해방법재초시대필배자도개솔분포통계표적기출상，경과증량식계산피면료상린도상괴중회도개솔통계적중복성조작，대대감소료도상필배과정중적개솔통계적운산량。실험결과증명료해산법재보지호신식도상필배우세적동시，제고료도상필배적속도。
To solve the problem of low matching speed resulting from large computational cost of gray probability distribution in traditional mutual-information-based image matching method, a new method of fast image matching based on incremental grayscale statistics was pro-posed. In this method, the probability distribution of to-be-matched sub-image was computed at first;and then incremental calculation was adopted to avoid repetitive operation of gray probability distribution between adjacent sub-images;Consequently, the amount of computation in the process of image matching was reduced. The experimental results demonstrate that the present algorithm not only keeps the advanta-ges of image matching with mutual information, but also increases the speed of image matching.