| Literature DB >> 30645278 |
Chenzi Guo, Zelong Ma, Xu Guo, Wenxian Li, Xinda Qi, Qinglei Zhao.
Abstract
In this paper, we developed an auto-focus image quality evaluation function from the histogram feature function (HFF) of a high-speed camera. Based on this function, we then proposed a fast auto-focus search algorithm. We further demonstrated that the auto-focus image quality evaluation function we proposed requires fewer computational resources, while providing a more effective focusing area and more moderate sensitivity, compared to the traditional evaluation function. In contrast to the traditional climbing method, our proposed fast auto-focusing search algorithm also can spot the focus point in a shorter time, effectively reducing the round trips of the focusing motor and improving the focusing accuracy.Year: 2018 PMID: 30645278 DOI: 10.1364/AO.57.000F44
Source DB: PubMed Journal: Appl Opt ISSN: 1559-128X Impact factor: 1.980