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一种Hartmann-Shack波前传感器图像的自适应阈值选取方法
An Adaptive Threshold Selection Method for Hartmann-Shack Wavefront Sensor
【摘要】 在Hartmann-Shack波前传感器中,图像阈值的选取对质心探测精度有较大的影响。根据 模式识别理论,提出一种适用于Hartmann-Shack波前传感器图像阈值选取的新方法棗基于类别方差的自适应门限方法。实验结果表明,本方法在Hartmann-Shack波前传感器图像信噪比大于3时,能够比较有效地自动选取每帧图像的阈值。
【Abstract】 In Hartmann-Shack wavefront sensor, the selection of image threshold will has a larger inf- luence on centroid detecting accuracy. On the basis of the theory of pattern recognition, a new methodadaptive threshold method based on classification variance that is suitable for selecting image threshold of a Hartmann-Shack wavefront sensor is proposed. The experimental results show that the method can effectively and automatically select the threshold of each frame image when image signal-to-noise ratio of the Hartmann-Shack sensor is larger than 3.
- 【文献出处】 光电工程 ,Opto-electronic Engineering , 编辑部邮箱 ,2002年01期
- 【分类号】TP212
- 【被引频次】47
- 【下载频次】344