Premium
Region sampling for robust and rapid autofocus in microscope
Author(s) -
Gu ChaoChen,
Wu KaiJie,
Hu Jie,
Hao Cheng,
Guan XinPing
Publication year - 2015
Publication title -
microscopy research and technique
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 118
eISSN - 1097-0029
pISSN - 1059-910X
DOI - 10.1002/jemt.22484
Subject(s) - autofocus , sampling (signal processing) , artificial intelligence , computer science , microscope , computer vision , focus (optics) , optics , physics , filter (signal processing)
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. Microsc. Res. Tech. 78:382–390, 2015 . © 2015 Wiley Periodicals, Inc.