二维图像拼接技术研究综述

图像拼接是指将具有重叠区域的小视角、低分辨率的多张图像，经过相应的图像配准与融合算法，拼接成一张具有高分辨率、宽视角的全景图像。针对二维图像拼接方法，综述了将二维图像拼接技术应用于图像处理领域的最新研究进展，重点介绍和总结了图像配准方法和图像融合方法。其中，图像配准方法涵盖了基于SIFT、SURF和Harris点特征的提取方法。分析了各种算法的主要进展、典型算法的原理和优缺点以及国内外研究发展现状。最后，通过各种方法研究与应用情况推测，展望了未来图像拼接技术的发展趋势。

A Survey of Two-dimension Image Mosaic Technology

Image mosaic refers to the process of stitching multiple images with overlapping areas of small perspective and low resolution into a panoramic image with high resolution and wide perspective through the corresponding image registration and fusion algorithm. Latest research progresses of two-dimension image mosaic technology applied to image processing are summarized. In addition, image registration and image fusion methods are introduced, and the image registration method includes feature extraction methods based on SIFT, SURF and Harris points. The main progresses of each algorithm, the advantages and disadvantages of typical principles, and the domestic and foreign research and development status are analysed. Finally, according to the study and application of various methods, the future research directions in image mosaic technology are discussed.