基于真空激光准直监测系统的面阵CCD图像处理算法

Image Processing Algorithm for Area Array CCD Based on Vacuum Laser Alignment Monitoring System

针对真空激光准直监测系统的特点,研究了面阵电荷耦合元件(CCD)图像处理的策略与方法。首先,通过图像比较、去毛刺算法滤除噪声,提出小区域扫描法进行边缘识别的算法进行光斑轮廓确定,最后通过质心法找出光斑能量中心。实际应用表明,采用该方法进行真空激光准直监测系统的图像处理能够满足实际工程监测的要求。

The image processing algorithm for area array CCD are studied based on characteristics of the vacuum laser alignment monitoring system. Firstly, the target image is compared with the background image and processed by filtering algorithm. Secondly, the edge recognition algorithm by subarea scanning is presented to determine the facula contour. Finally, the facula energy center is found out through the centroid method. The practical application shows that the methods and algorithms for the image processing of the vacuum laser alignment monitoring system can meet requirements of practical engineering safety monitoring.