Gu Chao-Chen, Wu Kai-Jie, Hu Jie, Hao Cheng, Guan Xin-Ping
School of Electric Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China; School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Microsc Res Tech. 2015 May;78(5):382-90. doi: 10.1002/jemt.22484. Epub 2015 Mar 5.
This paper proposes a region sampling based autofocus method for rapid and robust autofocus in microscope. Image content and region size are considered in region sampling criteria. An intelligent search algorithm which employs quartering hill climbing search and golden section search is developed, in which rule-based evaluation of sampled focusing regions is applied. Experimental results demonstrate that the proposed method can significantly improve the performance of image-based autofocus.
本文提出了一种基于区域采样的自动对焦方法，用于在显微镜中实现快速且稳健的自动对焦。区域采样标准中考虑了图像内容和区域大小。开发了一种采用四分爬山搜索和黄金分割搜索的智能搜索算法，其中对采样的聚焦区域应用了基于规则的评估。实验结果表明，所提出的方法能够显著提高基于图像的自动对焦性能。
