A Focusing Algorithm in Automatic Microscope

The traditional autofocus algorithm with high time complexity has slow speed of calculation for the current high-definition images that lead to low efficiency of the focusing. To solve this problem,we improve auto focusing by improving focusing evaluation and focus searching. First,two evaluation fu...

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Main Authors: LIANG Long-kai, ZHAO Jing, HE Yong-jun
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2018-04-01
Series:Journal of Harbin University of Science and Technology
Subjects:
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1505
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author LIANG Long-kai
ZHAO Jing
HE Yong-jun
author_facet LIANG Long-kai
ZHAO Jing
HE Yong-jun
author_sort LIANG Long-kai
collection DOAJ
description The traditional autofocus algorithm with high time complexity has slow speed of calculation for the current high-definition images that lead to low efficiency of the focusing. To solve this problem,we improve auto focusing by improving focusing evaluation and focus searching. First,two evaluation functions based on gray change,namely gray zero comparison method and low gray value statistics method,are put forwarded. Then the proposed evaluation functions are applied to realize the variable step climbing search strategy. The experimental results show that the proposed method in two aspects of focusing efficiency and clarity are better than current methods.
format Article
id doaj-art-7fe320009947419788932a722ea2cea3
institution Kabale University
issn 1007-2683
language zho
publishDate 2018-04-01
publisher Harbin University of Science and Technology Publications
record_format Article
series Journal of Harbin University of Science and Technology
spelling doaj-art-7fe320009947419788932a722ea2cea32025-08-24T01:37:18ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832018-04-012302465210.15938/j.jhust.2018.02.009A Focusing Algorithm in Automatic MicroscopeLIANG Long-kai0ZHAO Jing1HE Yong-jun2School of Computer Science and Technology,Harbin University of Science and Technology,Harbin 150080,ChinaSchool of Computer Science and Technology,Harbin University of Science and Technology,Harbin 150080,ChinaSchool of Computer Science and Technology,Harbin University of Science and Technology,Harbin 150080,ChinaThe traditional autofocus algorithm with high time complexity has slow speed of calculation for the current high-definition images that lead to low efficiency of the focusing. To solve this problem,we improve auto focusing by improving focusing evaluation and focus searching. First,two evaluation functions based on gray change,namely gray zero comparison method and low gray value statistics method,are put forwarded. Then the proposed evaluation functions are applied to realize the variable step climbing search strategy. The experimental results show that the proposed method in two aspects of focusing efficiency and clarity are better than current methods.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1505automatic focusingautomatic microscopevariable step hill-climbinggray nonzero statisticslow gray value statistics
spellingShingle LIANG Long-kai
ZHAO Jing
HE Yong-jun
A Focusing Algorithm in Automatic Microscope
Journal of Harbin University of Science and Technology
automatic focusing
automatic microscope
variable step hill-climbing
gray nonzero statistics
low gray value statistics
title A Focusing Algorithm in Automatic Microscope
title_full A Focusing Algorithm in Automatic Microscope
title_fullStr A Focusing Algorithm in Automatic Microscope
title_full_unstemmed A Focusing Algorithm in Automatic Microscope
title_short A Focusing Algorithm in Automatic Microscope
title_sort focusing algorithm in automatic microscope
topic automatic focusing
automatic microscope
variable step hill-climbing
gray nonzero statistics
low gray value statistics
url https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1505
work_keys_str_mv AT lianglongkai afocusingalgorithminautomaticmicroscope
AT zhaojing afocusingalgorithminautomaticmicroscope
AT heyongjun afocusingalgorithminautomaticmicroscope
AT lianglongkai focusingalgorithminautomaticmicroscope
AT zhaojing focusingalgorithminautomaticmicroscope
AT heyongjun focusingalgorithminautomaticmicroscope