一种光幕测速信号的图像处理技术

Image Processing Technology for Signal of Light Screen Velocity Measuring System

在光幕靶精密测速系统中,提出了一种基于图像处理算法的信号处理技术,消除随机噪声对光电探测信号的干扰,从而可以精确获取物体通过前后两光幕靶的间隔时间。该技术将间隔时间的计算转换为图像中目标物体尾部位置的计算。首先去除孤立点、毛刺等图像缺陷,得到只有一个连通区的图像,再用图像面积除以平均宽度计算物体的长度,求出对应的尾部位置。从前后光幕图像的尾部位置分别得到了物体通过前后两光幕靶的准确时间,两者相减最终得到间隔时间。实验表明系统采用该处理技术能够精确获取间隔时间,实测的速度数据稳定、有效,测量精度可以达到0.05%。

In the precision light screen velocity measuring system, a signal processing technology based on the arithmetic of image processing is put forward to eliminate the interference of random noise to opto-electronic detected signals, so the interval time of the object flying through the two light screens can be gained accurately. It converted the counting of interval time into the counting of end position of the object in the image. At first, the image defects such as isolated point, burr etc. were eliminated to get the image which has only one seriate area, and then, the image area was divided by the average width to get the end position of the object. Each time when the object fly through the two light screens can be measured accurately by using the end position of the object in the image, and the interval time can be gained by subtracting the two time. The experiment show that the system can gain the interval time accurately by applying this processing technology, the speed data is stable and effective, and the system measurement precision can be up to 0.05%