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作 者:高琰[1] 肖小月 李小虎 朱洪[1] 唐琎[1] 郭璠[1] Gao Yan;Xiao Xiaoyue;Li Xiaohu;Zhu Hong;Tang Jin;Guo Fan(School of Automation,Central South University,Changsha 410083,China)
出 处:《红外与激光工程》2022年第7期451-462,共12页Infrared and Laser Engineering
摘 要:由于远红外图像存在分辨率低、具有大量重复结构和稀疏结构等问题,大批量远红外图像的拼接工作面临很多挑战。文中针对航空场景下的远红外图像拼接,将图像对齐过程分为顺序图像序列对齐和多列图像对齐。单列图像基于非极大值抑制求取单应性矩阵,并推导传递关系进行拼接。列间图像通过划分网格,结合区域相似变换和局部单应变换逐网格优化变换矩阵的权重,并通过网格变换的递推实现拼接。文中所述的拼接方法能够避免连续多张远红外图像拼接时导致的特征消失问题,同时适应多列图像拼接时上下重叠率不一致的问题,最终实现了大批量远红外图像的拼接。Far-infrared images have problems such as low resolution,large numbers of repetitive structures and sparse structures.The stitching of this type of far-infrared image faces many challenges.Aiming at the farinfrared image stitching in aerial scenes,this paper divides the image alignment process into sequential image sequence alignment and multicolumn image alignment.Single-column images are based on nonmaximum suppression to obtain the homography matrix,and the transfer relationship is derived for splicing.The image stitching between columns is divided into grids,combined with regional similarity transformation and local homography transformation to optimize the weight of the transformation matrix grid by grid and through the recursion of grid transformation to achieve precise stitching.The methods used can avoid the problem of disappearance of splicing features of multiple consecutive far-infrared images and adapt to the problem of inconsistent overlap rate when in multicolumn image stitching,realizing the stitching of massive far-infrared images.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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