提出了一种基于多直线特征的全局运动估计算法，同时也介绍了它在电子图象稳定（EIS）系统中的应用，首先，用全局运动估计技术来估计摄像机的运动，即通过小波变换法提取图象中的边缘，并利用Hough变换法提取图象中的直线段特征，然后按照直线段的特征参数和位置选择原则选择具有分布特性的多个直线段，并通过对应的直线段特征比较计算局部运动参数和全局运动参数；最后根据全局运动估计结果，利用滤波法进行抖动判别和补偿，实现对图象序列的稳定处理，实验结果表明，多直线特征可以准确且稳定地估计摄像机的运动参数，通过滤波法可以消除视频序列的抖动。

In this paper, we introduce an algorithm of global motion estimation based on multi line features which are different characters and which can be distributed regularly in the image region. Global motion estimation attempts to find the shift of cameras such as translation, zoom and rotation. Multi line segments are obtained by wavelet edge extraction algorithm and Hough transformation. Straight lines used in estimating motion parameter are selected under the control of selection rulers. Global motion parameter is obtained by comparing straight lines between the original referent image and the distributed images. Its application for electronics image stabilization is also presented. The distribution of an image sequence can be move away by filtering the trace of frame motion obtained by global motion estimation. The image sequence could be obtained by compensated to image frames. It is satisfing in experiment that global motion parameter can be calculated correctly and robustly depend on several straight lines. Un stabilization can be shift by averaging motion vector estimated by multi-line segments.