中国机械工程 ›› 2016, Vol. 27 ›› Issue (02): 195-200.
白丰;张小俊;张明路;孙凌宇
出版日期:
2016-01-25
发布日期:
2016-12-15
基金资助:
Bai Feng;Zhang Xiaojun;Zhang Minglu;Sun Lingyu
Online:
2016-01-25
Published:
2016-12-15
Supported by:
摘要:
针对传统电子稳像算法无法快速有效地消除视频图像随机抖动的问题,采用一种基于分区灰度投影的稳像算法,以确保机器人系统能够输出稳定连贯的卫星装配画面。对前后两帧视频图像进行划分并删除对比度低的子区域,利用间隔投影和互相关运算获取局部运动分量,通过基于平均误差门限的迭代步骤筛选后剩余的局部运动分量求解全局运动矢量;若判定存在低频扫描分量,还需对多帧图像的全局运动矢量作均值滤波处理。实验结果表明:基于分区灰度投影的稳像算法相比传统灰度投影法,在低对比度的自然场景图像和模拟装配图像中的稳像精确度分别提升119.1%和55.8%;同时执行时间只有块匹配算法的0.5%。能够有效消除随机抖动,快速输出稳定连贯的视频画面,保证机器人系统顺利完成卫星的地面装配工作。
中图分类号:
白丰, 张小俊, 张明路, 孙凌宇. 基于分区灰度投影的稳像算法在卫星装配中的应用[J]. 中国机械工程, 2016, 27(02): 195-200.
Bai Feng, Zhang Xiaojun, Zhang Minglu, Sun Lingyu . Video Stabilization Method Based on Subzone Gray Projection in Applications of Satellite Assembly[J]. China Mechanical Engineering, 2016, 27(02): 195-200.
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