一种光斑图像加速处理算法研究

Research on An Acceletated Algorithms for Spot Image

在激光光束质量测量领域中,高分辨率图像能够提高测量精度,然而对于多点采样测量,全帧图像算法会导致测量时间的大大延长。为解决此问题,提出一种基于局部图像的光斑加速处理算法:根据前三个采样点激光参数,计算出光束空间传播路径,预测下一采样点计算区域,在此区域内计算相应参数。实验结果表明:对于单个采样点,图像分辨率1392×1040,该算法能够有效地降低信息处理量,全帧图像平均测量时间为0.926s,加速处理算法平均测量时间为0.512s,有效地减少单点采样全帧图像处理时间的45.27%。能够准确地计算出激光性能参数,提高整体测量速度,对高分辨率图像在激光光束质量测量中的应用具有重要意义。

In the field of measuring laser beam quality,the measurement accuracy can be improved by high-resolution images. However full-frame image algorithm will greatly extend the measurement time for multi-point sampling measurement. To solve this problem,an image accelerated algorithms is proposed; the spatial propagation path of the laser beam based on the three former sampling points parameters is calculated;calculation area in the next sampling point is predicted and some parameters is calculated in it. The experimental results show that the average measurement time of full-frame image which 1392×1040 of images resolution is 0.926 s and the average measurement time of accelerated algorithms is 0.512 s for a single sample. The amount of information in the calculation area can be effectively reduced by the algorithm;45.27% of the time is reduced effectively during single sample processing in each image; the laser performance parameters are calculated exactly and the overall measurement speed is improved. It is important for measuring laser beam quality with high-resolution images.