为了解决红外偏心摄影验光所得眼瞳图像亮暗分界模糊等问题，提出了基于图像处理的对眼瞳图像几何参数进行测量的方法。关键技术是利用曲波变换和最小二乘拟合对边界定位。该方法通过红外偏心摄影光学系统对眼瞳图像进行摄取，利用曲波对图像进行去噪和边缘粗略位置检测，进而由最小二乘拟合边缘点和瞳孔更精确地定位，得出轮廓曲线的平面几何参数，从而计算得到眼瞳屈光度。实验结果表明，该方法稳定性好，实时性较优，可有效提高眼睛屈光度的精度测量。

In order to solve the problem that the border, between dark crescent and bright crescent, is hard to be detected in the pupil images of infrared eccentric photorefraction, a geometrical plane parameter measurement method based on pupil images processing is proposed in this paper. The key technologies are curvelet transform and least-squares fitting. Firstly, we obtained the pupil images by the infrared eccentric photography system. Secondly, curvelet was utilized to reduce the noise from the images, and the rough edges could be located. Thirdly, by least-squares fitting to the edge, we could acquire the geometrical plane parameters of pupil images more accurately. Finally, pupil diopter could be calculated. The experimental results demonstrate the accuracy, stability and validity of the measurement system.