管道内壁视频图像防抖动算法研究  

Research on Video Image Stabilization Algorithm for Pipeline Inner Wall

作　　者：张全法[1] 杨海彬[1] 王庆峰[1] 费光彦[1] 

机构地区：[1]郑州大学 物理工程学院,河南郑州450001

出　　处：《测控技术》2013年第6期44-46,共3页Measurement & Control Technology

摘　　要：为了减小抖动对管道内壁视频图像的影响,提出一种在抖动比较小的条件下将横向抖动与旋转分开处理的算法。首先通过选取合适的阈值将灰度化的全景图像二值化为一个圆,利用重心法求出圆心位置,根据与基准帧圆心位置的差别平移全景图像,从而减小横向抖动的影响。之后进行展开,通过求取连续两帧展开图像上重合区域灰度加权重心的差别,对当前帧展开图像平移后再进行拼接,从而减小旋转的影响。实验表明该算法处理速度非常快,可以比较好地减小管道内壁视频图像抖动的影响。To eliminate the influence of camera shaking upon pipeline inner wall, a new stabilization algorithm is proposed, which processes crosswise shift and rotation separately under conditions that camera shaking is not too large. Firstly, each panoramic gray image is translated into a binary image of circle by selecting an appropri- ate threshold, the center of the circle is obtained by the center-of-gravity-method. Then the panoramic image is shifted by comparing the position to that of the base frame, and thus the influence of crosswise shift is de- creased. Secondly, the processed panoramic image is unfolded, the gray weighted centers of the overlapping re- gion of every two continuous frames are calculated, then the unfolded image is shifted according to the differ- ence between the centers, and thus the influence of rotating is decreased. Experiment shows that the algorithm can eliminate the influence of camera shaking quickly and perfectly.

关 键 词：管道内壁 视频图像处理 横向抖动 旋转 重心法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]