车底危险物图像快速拼接算法  

Fast Image-Stitching Algorithm of Dangerous Objects Under Vehicles

作　　者：庄建军 金鑫 Zhang Jianjun;Jin Xin(School of Electronics and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu,China)

机构地区：[1]南京信息工程大学电子与信息工程学院,江苏南京210044

出　　处：《激光与光电子学进展》2024年第8期427-435,共9页Laser & Optoelectronics Progress

基　　金：国家重点研发计划(2021YFE0105500);国家自然科学基金(N62171228);江苏高校“青蓝工程”资助。

摘　　要：针对车底危险物图像拼接中存在特征点匹配精度低、匹配速度慢、拼接处存在裂缝以及拼接时间久的问题,提出一种车底危险物图像快速拼接算法。首先,利用角点检测(FAST)算法进行图像特征点提取,再用二进制鲁棒不变可扩展关键点(BRISK)算法对保留的特征点进行特征描述;其次,用快速最近邻搜索(FLANN)算法进行粗匹配;接着,使用渐进一致采样(PROSAC)算法进行特征点提纯;最后,利用拉普拉斯金字塔算法进行图像融合与拼接。实验结果表明:在车底危险物图像数据中,与SIFT、SURF、ORB算法相比,所提算法的图像特征匹配精度分别提高13.10百分点、8.59百分点、11.27百分点,匹配时间分别缩短76.26%、85.36%、10.27%,图像拼接时间分别缩短63.73%、64.21%、20.07%,拼接处不存在明显裂痕。因此,基于FAST、BRISK、PROSAC和拉普拉斯金字塔组合的图像拼接算法是一种优质的图像快速拼接算法。To address challenges involving low accuracy in feature point matching,low matching speed,cracks at the stitching points,and extended stitching time in vehicle undercarriage threat detection imaging,an optimized imagestitching algorithm is proposed.First,the corner detection(FAST)algorithm is used to extract image feature points,and then,the binary robust invariant scalable key point(BRISK)algorithm is used to describe the retained feature points.Second,the fast nearest neighbor search(FLANN)algorithm is used for coarse matching.Next,the progressive uniform sampling(PROSAC)algorithm is used for feature point purification.Finally,the Laplace pyramid algorithm is used for image fusion and stitching.The experimental results show that,when compared with SIFT,SURF,and ORB algorithms,the proposed algorithm improves the image feature matching accuracy by 13.10 percentage points,8.59 percentage points,and 11.27 percentage points,respectively,in the image data of dangerous objects under the vehicle.The matching time is shortened by 76.26%,85.36%,and 10.27%,respectively.The imagestitching time is shortened by 63.73%,64.21%,and 20.07%,respectively,and there are no evident cracks at the stitching point.Therefore,the imagestitching algorithm based on the combination of FAST,BRISK,PROSAC,and Laplace pyramid is a highquality fast imagestitching algorithm.

关 键 词：图像处理 FAST算法 BRISK算法 PROSAC算法 拉普拉斯金字塔算法 图像融合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]