摘要
现有的方法对倾斜角度拍摄的电传电位计图像的圆心坐标及凹槽角度检测存在较大的位置误差与角度误差,无法满足实际的使用需求。针对倾斜角度拍摄电传电位计时测量圆心坐标及凹槽角度偏移量较大的问题,提出倾斜角度飞机电传电位计自适应检测研究方法。通过图像预处理与边缘检测等方法初步得到飞机电传电位计的圆心及角度信息,提出圆心偏移矫正算法与角度偏移矫正算法对电传电位计圆心坐标及凹槽角度进行矫正,进一步提高电传电位计的检测精度。本检测算法与单应性检测算法作对比实验,结果表明:本算法对圆心距离误差最大为0.21 mm,凹槽弧度误差最大为0.72°。相比于单应性变换法在圆心平均误差下下降了0.09 mm,角度平均误差下降了0.38°,满足实际使用要求。
The flight control computer is an important component of the aircraft flight control system,which has a significant impact on the flight safety of the aircraft.The existing methods have significant positional and angular errors in the center coordinates and groove angles of the electric potentiometer images captured for detecting tilt angles,which cannot meet practical usage needs.A research method for adaptive detection of inclined angle aircraft electric potential meters is proposed to address the problem of significant deviation in measuring the center coordinates and groove angles of the circle using inclined angle electric potential meters.By using methods such as image preprocessing and edge detection,the center and angle information of the aircraft electric potentiometer are preliminarily obtained.A center offset correction algorithm and an angle offset correction algorithm are proposed to correct the center coordinates and groove angles of the electric potentiometer,further improving the detection accuracy of the electric potentiometer.Compared with the Homography detection algorithm,the results show that the maximum error of the algorithm for the center distance is 0.21mm,and the maximum error for the groove radian is 0.72 degrees.Compared with the Homography transformation method,the average error at the center of the circle is reduced by 0.09 mm,and the average error at the angle is reduced by 0.38 degrees,which meets the requirements of practical use.
作者
邱楠
周志峰
钱莉
王立端
任朴林
QIU Nan;ZHOU Zhifeng;QIAN Li;WANG Liduan;REN Pulin(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China;Shanghai Sinan Satellite Navigation Technology Co.,Ltd.,Shanghai 201801,China;Military Representative Office in Changzhou,Changzhou 213100,China)
出处
《兵器装备工程学报》
CAS
CSCD
北大核心
2024年第6期253-259,共7页
Journal of Ordnance Equipment Engineering
基金
上海市优秀学术/技术带头人计划资助项目(22XD1433500)。
关键词
机器视觉
边缘检测
椭圆拟合
几何矫正
角度检测
machine vision
edge detection
ellipse fitting
geometric correction
angle detection
