一种基于图像拼接和图形匹配的数字图像处理技术
摘 要：数字图像其实质是多维数值矩阵，通过对矩阵进行算法运算可以完成对于数字图像的处理，图像拼接和地图匹配是数字图像处理领域中重要的一环，通过图像拼接可以完成大视场图像的处理并生成全景图像，其核心在于将具有重叠的两幅或是多幅数字图像进行匹配对准和融合形成一张大幅的视场图像，图像拼接技术在工业、农业、医学等领域都有着广泛的应用前景。尤其是现代无人机技术的快速发展，数字图像的获取更加方便，借助于图像拼接技术可以将无人机所获取的数字图像进行拼接并与地图匹配用以获得更好的视觉地图。文章在分析无人机图像特点的基础上对如何做好无人机数字图像的拼接和融合进行了分析介绍。
关键词：无人机;数字图像;拼接;地图匹配
中图分类号：TP391.4 文献标志码：A 文章编号：2095-2945（2019）30-0157-02
Abstract： The essence of digital image is multi-dimensional numerical matrix. The processing of digital image can be completed by calculating the matrix. Image stitching and map matching are important links in the field of digital image processing. Through image stitching， the processing of large field of view image can be completed and the panoramic image can be generated. Its core is to match， align and fuse two or more overlapping digital images to form a large field of view image. Image stitching technology has a wide application prospect in industry， agriculture， medicine and other fields. Especially with the rapid development of modern UAV technology， the acquisition of digital images is more convenient. With the help of image mosaic technology， the digital images obtained by UAV can be stitched and matched with maps to obtain better visual maps. Based on the analysis of the characteristics of UAV images， this paper analyzes and introduces how to deal with the stitching and fusion of UAV digital images.
Keywords： UAV; digital image; splicing; map matching
前言
無人机作为现代...
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