针对线阵 CCD立靶系统中线阵相机的标定问题, 提出了一种现场自标定方法。首先, 根据系统测量原理与光学成像原理建立系统线阵相机自标定模型；其次, 利用基于局部区域效应的亚像素检测算法检测线阵图像中靶标特征边缘的像素位置；最后, 根据自标定函数模型, 利用最小二乘法求解像素坐标与实际物理坐标之间的映射关系。整个标定过程既不用求解相机内外参数, 也无需将相机与系统分离标定, 有效降低了线阵相机标定的复杂度, 提高了标定效率。实验结果表明, 该方法具有较高精度, 满足工程应用需要。

Aiming at the problem of camera calibration of the linear array CCD camera vertical target, a filed self camera calibration method was presented. Firstly, the model of self camera calibration based on the principle of system measurement and the principle of optical imaging was built. And then, a kind of sub-pixel detection algorithm based on partial area effect was used to detect the target characteristic edge’s location in linear image. Finally, the least square was adopted to build the connection between image edge’s pixel coordinate and the corresponding edge’s real coordinate based on the function form of the self camera calibration model. Neither camera’s intrinsic and extrinsic parameters need to be evaluated nor the camera need to be separated from the system through the camera calibration process, so this method has high efficiency with reducing the complexity of calibration. Experimental results show that the proposed cameral calibration method has high precision to meet the demand for project application.