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The universal formula computing the position of sub-aperture spot image for Shack-Hartmann wavefront Sensor

机译:计算Shack-Hartmann波前传感器子孔径点图像位置的通用公式

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On the basis of previous formula computing the position of sub-aperture spot image, a universal formula computing the position of sub-aperture spot image for Shack-Hartmann wavefront sensor was developed. The formula is a perfect combination of the coordinates weight algorithm, which times certain coefficient in some coordinates, and the intensity weight algorithm which uses some power of the gray level intensity of the sub-aperture image instead of the gray level intensity itself of the sub-aperture image. The set of concept was introduced, which makes the formula include such factors as noise that influence the accuracy of computing the position of sub-aperture spot image. Some discussion was performed in this paper and it's proved that the universal formula is well consistent not only with the coordinates weight algorithm and the intensity weight algorithm, but also with the correlation tracking algorithm and the feature tracking algorithm. And some novelty of calculating the position of sub-aperture spot image was presented in this paper.
机译:在先前计算子孔径点图像位置的公式的基础上,建立了Shack-Hartmann波前传感器计算子孔径点图像位置的通用公式。该公式是坐标权重算法和强度权重算法的完美组合,该算法将某些坐标中的某个系数乘以该系数,该强度权重算法使用子孔径图像的灰度强度的某些幂而不是子孔径图像本身的灰度强度孔径图像。介绍了这套概念,使该公式包含诸如噪声等因素,这些因素影响子孔径点图像位置的计算精度。本文进行了一些讨论,证明了该通用公式不仅与坐标权重算法和强度权重算法以及相关性跟踪算法和特征跟踪算法完全吻合。并提出了一些计算子孔径点图像位置的新颖性。

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