摘要
针对钢轨磨耗结构光动态测量中结构光条纹中心提取的实时性问题,提出一种新的序列图像中结构光条纹中心的快速提取算法。以上一帧图像中提取的钢轨条纹中心作为条纹中心的初始位置,首先对初始位置进行校正,以补偿传感器振动所带来的图像中条纹纵向变化,然后在法向方向上使用灰度质心法计算得到条纹中心的近似值,通过在近似值点计算单点Hessian矩阵获得条纹中心的亚像素精确位置。实验表明,该方法速度快、精度高,有效解决了基于结构光视觉的钢轨磨耗动态测量中条纹中心的实时精确提取问题。
A new extrication algorithm for waist rail stripe center based on sequences images is proposed to accomplish structured-light stripe center extrication in rail wear dynamic measurement. The initial value of the stripe center, which is set to be the one in previous frame must be calibrated to offset deviation on y-axis caused by rail image vibration. Then, the approximate value of the stripe center is calculated by center of gravity method in normal direction. Structured light stripe center at sub-pixel precision is exacted though calculate signal-point Hessian matrix. The experimental results show that the proposed algorithm is fast, high precise, and can effectively resolve the problem of structuredlight stripe center extrication in rail wear dynamic measurement.
出处
《激光与红外》
CAS
CSCD
北大核心
2010年第1期87-90,共4页
Laser & Infrared
基金
国家自然科学基金项目(No.60804060)
铁道部科技研究开发计划项目(No.2008G020-C)资助
