Fast auto-focusing based on partial image characteristics

Jiwen Cui, Jiubin Tan
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引用次数: 1

Abstract

Focusing is started with partial image characteristics and its region attained through Sampling Restraint Hough Transform. Both rough and fine focusing procedures are used to avoid partial interference caused by noise; the values of pixels in the 8-neighbouring area of each point are used in the improved gradient gray square function used as sharpness function; searching step is changed at real time in both rough and fine searching processes to enhance the focusing sensitivity; Field Programmable Gate Array is used to expedite the calculation of sharpness function. Experimental results indicate this way of focusing features fine singe peak, fast response, and good robustness; the caulcualtion of one frame image takes less than 20 ms, and auto-focusing is possible in a a range of 200μm with a uncertainty of less than 1μm.
基于局部图像特征的快速自动对焦
首先利用图像的局部特征,通过采样约束霍夫变换得到图像的局部区域。粗调焦和精调焦均可避免噪声引起的局部干扰;每个点的8个相邻区域的像素值用于改进的梯度灰度平方函数,作为锐度函数;在粗搜索和精搜索过程中实时改变搜索步长,提高聚焦灵敏度;采用现场可编程门阵列加快了锐度函数的计算。实验结果表明,该方法具有单峰精细、响应速度快、鲁棒性好的特点;一帧图像的计算时间小于20 ms,可在200μm范围内实现自动聚焦,不确定度小于1μm。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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