基于哈特曼法球差自动测量系统的图像处理

Image processing of spherical-aberration auto-measurement system based on Hartmann method

  • 摘要: 从基于哈特曼法自动测量球差所需解决的CCD图像传感和数字图像处理技术出发,提出将哈特曼光阑图像用于存储器中的目标识别与测量时,图像映像区搜索算法和哈特曼光阑图像中测量光斑距离的中心重叠算法,解决了在一维图像存储器中准确寻找二维图像目标,随后进行相关目标计算的技术。其中利用所有光斑的质心求解哈特曼光阑图像的中心,再由光斑质心关于光阑图像中心的对称性确定光斑质心距离的中心重叠算法可减少计算次数,大大降低了算法的时间复杂度和计算复杂度。

     

    Abstract: Proceeding from the CCD image sensing and digital image processing technologies which should be improved for the spherical-aberration automeasurement system based on Hartmann method, the target discrimination and search algorithms of the Hartmann diaphragm image in the image-reflectionarea, and the center superposition algorithm for the spot distance measurement of the Hartmann diaphragm image are proposed to solve the problems for accurately searching the two-dimensional image targets in onedimensional image memorizer and then implementing some calculations of the relative targets. The center of Hartmann diaphragm image is solved by utilizing the centers of mass of all the light spots, and then the algorithm for the center superposition of the mass center distance is confirmed by the center symmetry of the diaphragm image. The result indicates that the times of computation are cut down and the computing complexity of the algorithm is reduced.

     

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