图像拼接(image mosaic)技术是将一组相互间重叠部分的图像序列进行空间匹配对准,经重采样合成后形成一幅包含各图像序列信息的宽视角场景的、完整的、高清晰的新图像的技术。图像拼接在摄影测量学、计算机视觉、遥感图像处理、医学图像分析、计算机图形学等领域有着广泛的应用价值。 一般来说,图像拼接的过程由图像获取,图像配准,图像合成三步骤组成,其中图像配准是整个图像拼接的基础。本文研究了两种图像配准算法:基于特征和基于变换域的图像配准算法。 -Image mosaic (image mosaic) technology is the spatial matching between a set of overlapping part of the image sequence alignment, by resampling the synthetic form of a wide viewing angle of scenes that contains the image sequence information, a complete, high-definition newthe technology of the image. Image stitching in the photogrammetry, computer vision, remote sensing image processing, medical image analysis, computer graphics and other fields has been widely applied value. In general, image stitching process by the image acquisition, image registration, image synthesis steps, which image registration is the basis of the entire image mosaic. This paper studies two kinds of image registration algorithm: transform domain based on feature-based image registration algorithm.