Choosing auto focusing evaluation function for images is a key factor for passive auto focusing system of automatic microscope.
图像自动聚焦评价函数的选择是全自动控制显微镜无源方式自动聚焦系统的关键问题。
Through studying the historical background of the focus detection and principles of optical imaging, the auto focusing system adopts image gradient as the auto focusing evaluation function.
从焦点检测的历史背景出发，结合光学的成像原理，提出了以图像梯度为对焦评价函数的自动调焦技术。
The procedure of auto-focusing is to getting the maximum of the focusing (evaluation) function employing the mountain-climb searching algorithm.
自动对焦的过程就是运用爬山搜索算法求取对焦评价函数最大值的过程。
On the basis of evaluation function of using image intensity variance, we proposed a new auto-focusing algorithm by means of Wavelet Transform Multi-Resolution Analysis(WTMRA) theory.
在传统图像灰度方差评价函数的基础上，利用小波多分辨率分析，提出了一种新的自动聚焦算法。
The focusing evaluation function of the auto-focusing system is consistent with the energy of high frequency of the image.
图像对焦越准确，高频分量的能量越多，系统的对焦评价函数反映了图像高频分量的能量。
The focusing evaluation function of the auto-focusing system is consistent with the energy of high frequency of the image.
图像对焦越准确，高频分量的能量越多，系统的对焦评价函数反映了图像高频分量的能量。
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