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为满足高精度计量和方位瞄准跟踪系统的发展对激光CCD自准直仪测量精度的要求,提出一种基于正交傅里叶-梅林矩的激光CCD自准直仪圆目标中心抗噪声精确定位方法。首先利用正交傅里叶-梅林矩(OFMM)的幅值旋转不变性和更低径向矩阶数在充分提取图像边缘细节信息的同时抑制图像噪声的影响,通过对图像边缘旋转后垂直方向上不同阶次的正交傅里叶-梅林矩之间关系的分析将圆目标轮廓定位至亚像素级,然后采用最小二乘拟合方法实现圆目标中心的精确定位。结果表明,该方法稳定性好,定位精度高且抗干扰能力强,改进后的激光CCD自准直仪的测量分辨力提高了10倍,测量精度由2″提高到±0.18″,可有效满足在小角度测量和瞄准等领域的高精度测量需要。
In order to meet the requirements of laser CCD self-collimator for the development of high-precision metrology and azimuth tracking system, this paper proposes a new method based on quadrature Fourier-Mellin moment method. Firstly, the amplitude rotation invariance and the lower radial order of the quadrature Fourier-Merlin moments (OFMM) are used to suppress the influence of image noise while fully extracting the information of the edge of the image. After the edge of the image is rotated in the vertical direction The analysis of the relationship between different orders of orthogonal Fourier-Merlin moments locates the circular target contour to the sub-pixel level, and then uses the least squares fitting method to realize the precise positioning of the circular target center. The results show that the proposed method has the advantages of good stability, high positioning accuracy and strong anti-interference ability. The improved laser CCD autocollimator has a 10-fold improvement in measurement resolution and an improved measurement accuracy from 2 “to ± 0.18” High-precision measurement needs in areas such as small-angle measurement and aiming.