Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Opto-Electronic Engineering》 2017-07
Add to Favorite Get Latest Update

Applications of hybrid search strategy in microscope autofocus

Minshan Jiang;Nannan Zhang;Xuedian Zhang;Jia Gu;Xue Li;Feng Li;Institute of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology;  
For autofocus system of the microscope, this paper presents a hybrid search algorithm combining the mountain-climb search strategy with the approximation function strategy. In this algorithm, the mountain-climb search strategy adopts the two-stage algorithm of rough and fine focusing stage. In the rough focusing stage, the gray variance function is used to approach the focusing position quickly. In the fine focusing stage, the Laplacian function is used to locate the focusing position accurately. The algorithm narrows the focus interval by comparing three pictures and the approximation function strategy is used to fit the best focus in this range. This method greatly reduces the number of images required for autofocus and greatly improves the search accuracy. The experimental results indicate that this algorithm can make the search accuracy better than 1μm.
【Key Words】: autofocus search algorithm mountain-climb search strategy approximation function strategy hybrid search strategy
【Fund】: 国家重大科学仪器设备开发专项(2013YQ03065104)资助课题
【CateGory Index】: TH742
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved