通过计算图像梯度信息，选取边缘区域像素作为控制点，既改善减影图像质量，又提高运算速度。
The quality of the subtraction image was improved and computation time was reduced by selecting edge pixels as triangular control points.
算法还将相关匹配与伺服系统的控制特性结合起来进行考虑，更加合理地选择匹配区域，从而允许更快的伺服控制速度。
The algorithm also combines correlation matching with the control characteristic of servo system, selects the matching area more reasonably, and thus enables a faster servo control speed.
在如何选择对焦评价函数和对焦区域、如何进行反馈控制和如何提高对焦速度等方面，还有诸多问题有待解决。
Such as how to select focus functions and focus Windows, how to perform feedback control, and how to improve the auto-focusing velocity etc., are far from completely solved.
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