为满足高精度线阵CCD二维自准直仪动态高精度测量, 提出一种基于高斯滤波的二维自准直仪目标中心的精确定位算法。首先采用高斯滤波对CCD图像进行平滑处理, 在抑制噪声的同时生成带有高斯加权的CCD图像, 然后采用线性插值重心法对加权图像进行目标中心亚像素定位。实验结果表明, 该定位方法稳定性好, 定位精度高且实时性强, 在原理样机上, 应用该方法实现了单次二维角度测量时间小于0.2 s, 测量范围±900″, 精度优于±0.5″, 具备一定工程应用价值。

To meet the requirements for measuring accuracy and real-time performance of linear CCD 2-axis autocollimator, a precise center location algorithm based on Guassian filtering for high-accuracy linear CCD autocollimator is proposed. Firstly, the influences of the noises in images are diminished by using Gauss-filter pretreatment. Then, the sub-pixel location of the target is acquired accurately by using barycenter method based on linear polynomial interpolation method. Experimental results show that the proposed method is fast, stable and accurate, the measure scope is ±900″ and the measuring accuracy is ±0.5″in 0.2 s (a single measurement process) using the proposed method. The proposed method can efficiently fulfill the requirements in engineering systems.