激光与光电子学进展, 2020, 57 (12): 121014, 网络出版: 2020-06-03   

优化栅格移动统计的图像配准算法 下载: 931次

Image Registration Algorithm for Optimizing Grid Motion Statistics
作者单位
1 上海工程技术大学机械与汽车工程学院机械电子系, 上海 201620
2 上海司南卫星导航技术股份有限公司, 上海 201801
摘要
针对图像特征点提取匹配算法中配准率不高的问题,提出了一种优化栅格移动统计的图像配准算法。首先使用快速特征点提取和描述算法提取特征点,再通过暴力匹配算法进行大致的特征点配准。根据图像的大小和特征点的个数将图像划分成多个栅格,对栅格内的特征点数量进行移动统计,通过九宫格里特征点距离中心特征点的远近,使用高斯函数制作分数统计模板。将九宫格里的分数统计与设定的阈值进行对比,超过阈值则认为是一个正确的匹配点,否则即被筛选掉。实验结果表明,该算法比基于栅格的移动统计算法获得精确匹配点的数目提高了18.17%,与传统特征点提取匹配算法相比,速度最大可以提高约41.3%,能有效剔除错误匹配,提高匹配率。
Abstract
Aim

ing at the problem of low registration rate in image feature point extraction and matching algorithm, an image registration algorithm is proposed to optimize the grid motion statistics. The algorithm first uses oriented fast and rotated brief algorithm to extract the feature points, and then rough feature point registration is carried out by Brute-Force matching algorithm. According to the size of the image and the number of feature points, the image is divided into multiple grids, and the number of feature points in the grid is moved for statistics. A score statistics template is created by using Gaussian function through the distance between the nine-square grid feature points and the central feature points. The score statistics of the nine-square grid is compared with the set threshold. If the threshold is exceeded, it is considered to be a correct matching point, otherwise it will be filtered out. Experimental results show that the number of exact matching points between the proposed algorithm and the grid-based motion statistics algorithm is increased by 18.17%, and the speed can be increased by about 41.3% compared with the traditional feature point extraction matching algorithm. This method can effectively eliminate false matches and improve the matching rate.

贾强汉, 周志峰, 王立端. 优化栅格移动统计的图像配准算法[J]. 激光与光电子学进展, 2020, 57(12): 121014. Qianghan Jia, Zhifeng Zhou, Liduan Wang. Image Registration Algorithm for Optimizing Grid Motion Statistics[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121014.

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