Electronic Image Stabilization Algorithm Based on Multi-Line Feature
基于多直线特征的电子图象稳定算法

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.