摘要
为了能够在激光制导武器的靶场实验中,准确检测到激光光斑中心的位置,提出了改进的激光光斑中心检测算法。该方法首先针对含有噪声杂质的激光光斑图像进行预处理,得到形状规则、清晰度高的光斑图像;进而对处理后的光斑图像采用基于最小二乘法的圆拟合算法来计算光斑中心位置。通过实验仿真不同激光光斑中心检测算法的精确度及计算时间,比较得出改进后的激光光斑中心检测算法在计算光斑中心的精度上有了较大提高,缩短了计算时间。将该算法实际应用于靶场实验中,得到了较好的效果。
To be able to detect the position of the laser spot center accurately in the test range laser-guided weapons. An improved laser spot center detection algorithms was proposed. Firstly,this method preprocesses the laser spot image which contains noise impurity. Processed laser spot image has regular shape and is clear. Then the circle fitting algorithm based on least squares is applied to calculate the laser spot center. Through the experimental simulation of different laser spot detection algorithms in the accuracy and calculating time,a conclusion can be obtained that improved laser spot center detection algorithm has greatly improvement in calculation precision,also shorten the computing time.The improved algorithm was applied to the actual shooting range experiments also got good results. Therefore,this method can be applied to accurately locate laser spot center,and there is some improvement in the real-time positioning.
出处
《实验室研究与探索》
CAS
北大核心
2016年第10期16-19,共4页
Research and Exploration In Laboratory
基金
国家安全重点基础研究(973)计划项目(6132410201)
关键词
激光光斑
小波分解
最小二乘法
圆拟合算法
laser spot
wavelet decomposition
least square method
circle fitting algorithm
