title: Region sampling for robust and rapid autofocus in microscope.
abstract: 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.
authors.affiliation: 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.
authors.forename: Chao-Chen
authors.initials: CC
authors.lastname: Gu
authors.forename: Kai-Jie
authors.initials: KJ
authors.lastname: Wu
authors.forename: Jie
authors.initials: J
authors.lastname: Hu
authors.forename: Cheng
authors.initials: C
authors.lastname: Hao
authors.forename: Xin-Ping
authors.initials: XP
authors.lastname: Guan
keywords: focusing region; image content; image sharpness; intelligent search