摘要
为了实现激光制导武器目标光斑检测系统对远距离的来袭激光光斑的捕获与定位,采用机器视觉检测技术设计并实现全数字化、实时、高精度的激光检测系统。对CMOS探测器采集到的激光光斑图像,系统的硬件实现改进的快速二维中值滤波算法进行图像滤波处理,最大类间方差算法进行灰度图像阈值分割,灰度重心法进行中心提取,实现了精确中心定位。实验验证和误差分析表明,该系统具有很强的抗干扰性及精确的坐标定位,坐标误差在1 mm以内。
In order to achieve the laser guided weapons target spot detection system for long distance incoming laser spot of capturing and positioning, machine vision technology is used to design and implement all-digital, real-time, high-precision laser detection system. For the CMOS detector collected laser spot images, system uses hardware to achieve an improved fast 2D median filtering algorithm for image filtering, to perform gray image threshold segmentation with maximum between-class variance algorithm, to perform center extract with gravity method to achieve precise centrally positioned. Experimental verification and error analysis show that the system has a strong antiinterference and precise coordinates positioning, the coordinate error is less than l mm.
出处
《电子器件》
CAS
北大核心
2017年第4期978-982,共5页
Chinese Journal of Electron Devices
基金
国家级大学生创新创业训练项目(201510110001)
关键词
激光制导武器
激光光斑检测
改进的快速二维中值滤波算法
最大类间方差算法
laser guided weapons
laser spot detection
improved fast 2D median filtering algorithm
maximum between-class variance algorithm
