摘要
为了解决基于哈特曼法自动测量像差所面对的CCD图像传感和数字图像处理技术,提出了哈特曼光阑图像在存储器中目标的识别与测量的图像映像区搜索算法和哈特曼光阑图像中光斑距离测量的中心重叠算法。图像映像区搜索算法解决了如何在一维图像存储器中准确地寻找二维图像目标,找到目标之后如何进行有关的目标计算的技术。理论分析和实验表明利用所有光斑的质心求解哈特曼光阑图像的重心,再由光斑质心关于光阑图像重心的对称性确定光斑质心距离的中心重叠算法增加7算法可计算性和减少了计算次数,大大降低了算法的时间复杂度和计算复杂度。
This paper studied on the CCD Image sensor and digital processing technology which should be solved in automatic measurement system-for Hartmann-based spherical-aberration;putting forward the searching-computing method of the Hartmann diaphragm image in image-reflection-areawhich can recognize and measure the target in the memorizer,and the method named center superpose measurement that can compute the facula distance in the Hartmann diaphragm image,solving the technique that how to search for the two-dimensional image in one-dimensional image memorizer accurately and how to make some concerned calculations after finding out the target.The method in which center superpose measurement made use of the center of mass of all faculae to solve the center of Hartmann diaphragm image,then depended on the symmetry of diaphragm image confirmed the distance of the faculae,enhanced computability and cut down the times of compution which reduced the complexity of time and computing.
出处
《激光杂志》
CAS
CSCD
北大核心
2009年第6期45-47,共3页
Laser Journal
关键词
图像处理
球差
哈特曼法
CCD
image processing
spherical aberration
Harmann
CCD