摘要
从理论上分析了光信号的分布形式及分布规律对CCD超分辨力位置测量的影响,以高斯分布和均匀分布信号为例进行了具体分析与比较.在此基础上提出了一种基于划分一维宏像素计算质心序列点,通过拟合序列点剔除噪声影响的CCD超分辨力位置估计方法,分析了这一算法的不确定度.理论与实验表明,这一算法的位置测量精度达到0.02个像素.实验中通过与边缘拟合法、传统质心法的比较,表明这一方法具有更强的抗噪声能力和较高的准确性.
This article analyzes the effect of distribution form and law of the optical signal on the super-resolution position measurement by CCD, and then makes a concrete analysis and comparison by taking Gaussian distribution and uniform distribution as examples. Hereby, a CCD＇s super-resolution position estimation algorithm is presented which calculates the centroid serial points based on one dimensional macro pixel division and reduces the noise interference by fitting serial points. We also analyze the uncertainty of the new algorithm. The theory and experiments show that the algorithm has a precision up to 0. 02 pixels. Compared with the methods of edge fitting and the traditional centroid calculating, this new method has a better anti--noise ability and higher accuracy.
出处
《测试技术学报》
2006年第3期189-194,共6页
Journal of Test and Measurement Technology
基金
国家自然科学基金资助项目(NO.50005012)
关键词
位置测量
质心法
宏像素
迭代
position measurement
centroid arithmetic
macro pixels
iterative
