摘要
提出一种用于检测图像运动矢量的高分辨率灰度投影算法。灰度投影算法将图像在水平和垂直方向上的灰度投影数据作为图像特征,获得图像运动信息,一般只能达到一个像元精度。而通过采用相关计算进一步细分灰度投影数据,可以提高图像运动特征位置信息的精度,获得亚像元级的图像运动矢量。实验室摇摆台电子稳像实验结果表明,该方法可以有效提高图像运动矢量的计算精度。
In order to improve the precision of image movement characteristic information, an algorithm of high-resolution gray project was proposed for detecting image motion vector. In usually gray project algorithm, the gray project data is used as image characteristic to obtain image motion information, but only one pixel precision can be gotten. Using correlation calculation to further subdivide gray project data, precision of image motion characteristic position information was improved, and sub pixel image motion vector could be gotten. The experimental result on wave platform shows that the algorithm can effectively improve the calculation precision of image motion vector.
出处
《光学技术》
EI
CAS
CSCD
北大核心
2006年第3期378-380,共3页
Optical Technique
关键词
应用光学电子学
像素灰度
投影算法
运动矢量
电子稳像
optoelectronics
pixel gray
project algorithm
motion vector
electronic image stabilization