一种抗图像模糊的快速景象匹配算法  

Fast Scene Matching Algorithm Resistant to Image Blur

作　　者：符艳军[1] 张晓燕[1] 孙开锋[2] 

机构地区：[1]空军工程大学信息与导航学院,西安710077 [2]西安精密机械研究所,西安710075

出　　处：《计算机科学》2013年第12期298-300,311,共4页Computer Science

基　　金：陕西省自然科学基金(2010JM8014)资助

摘　　要：针对各种原因引起的实测图退化情形,将模糊不变矩引入景象匹配中。为了解决匹配过程中计算量大的问题,从简化匹配特征的计算及优化搜索策略两方面采取措施。在模糊不变矩计算方面,通过预先建立21个和表矩阵,提出了一种适用于匹配过程的矩特征高效求解算法;在搜索策略方面,考虑到模糊不变矩特征对图像分辨率的敏感性,提出在原分辨率基准图上采用遗传算法进行搜索匹配。实验结果表明,在实测图出现模糊及受噪声干扰情况下,所提匹配算法在保证匹配精度的同时,其匹配耗时比传统方法少好几个数量级,能够满足导航系统对实时性的要求。In view of the actual image being degraded, blur-invariant moments are used in scene matching. To solve the problem of the matching algorithm with large quality of computation, two measures including simplifying the computa- tion of features matched and optimizing searching policy were adopted respectively. Aiming at the computation of those blur-invariant moments, an efficient method only suitable to matching process was proposed on the basis of 21 sum-ta- bles established beforehand. Aiming at the searching policy, considering that those blur-invariant moments are sensible to image resolution, genetic algorithm was served as the searching method which is performed across the original refer- ence image. Experiment show that with the actual image blurred and noise added, the proposed matching algorithm is good in matching precision, furthermore, and its consuming time is several orders of magnitude lower than the tradition- al moment-based matching methods and can meet the navigation system＇s requirement for real-time.

关 键 词：景象匹配 图像退化 模糊不变矩 遗传算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]