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A Method of the Adaptively Selected Auto-Focusing Evaluation Function According to the Image Noise Strength

机译:一种根据图像噪声强度自适应选择自动聚焦评估函数的方法

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This paper has done the detailed analysis on the focusing curve characteristics for several auto-focusing functions including the Brenner function, energy gradient function, average variance function and entropy function and further discussed different characteristics of the interference immunity of those functions. According to the image noise strength, different definition evaluation functions is selected to obtain the purpose of the best focusing effect. The method proposed in this paper has achieved the effective verification on the auto-focusing platform of the microscope developed independently.
机译:本文对Brenner函数,能量梯度函数,平均方差函数和熵函数等几种自动聚焦函数的聚焦曲线特性进行了详细分析,并进一步讨论了这些函数的抗扰性的不同特性。根据图像噪声强度,选择不同的清晰度评估功能以获得最佳聚焦效果。本文提出的方法已经在独立开发的显微镜自动聚焦平台上获得了有效的验证。

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