摘要
提出了基于FPGA的图像处理自适应阈值算法,实现了激光光斑中心的高速实时检测。采用3×3窗口模块和自适应阈值模块,先对CCD输入数据进行处理,判断光斑的范围,然后再运用光斑的质心算法对光斑所占的像元进行运算,得出光斑位置的脱靶量。本文达到了脱靶量帧速3000帧/s、精度2μrad的技术指标,实现了高速率、高精度的跟踪要求。
An auto-adapted threshold algorithm for image processing is proposed,which is based on Field Programmable Gate Array（FPGA）.Using this algorithm can realize high-speed real-time detection for laser spot center.3×3 window module and auto-adapted threshold module are adopted in this study.First the CCD input data are processed,and the spot scope is estimated.Then the spot centroid algorithm is used to process the pixels,which are occupied by the spot,and the miss distance of the spot position is obtained.Finally,the image is displayed on the LCD using VGA format.This algorithm can reach miss distance frame rate of 3000 F/s and accuracy of 2 μrad.By this proposed method we can realize high-speed and high accurate tracking.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2010年第2期534-538,共5页
Journal of Jilin University:Engineering and Technology Edition
基金
'863'国家高技术研究发展计划项目(2006AA703405F)
