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Innovative Image Processing Method to Improve Autofocusing Accuracy

For automated optical inspection, autofocusing microscopes play an important role in capturing clear images of the measured object. At present, the image processing part of optics-based autofocusing microscopes often has various factors, which makes it impossible to describe the image information of...

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Detalles Bibliográficos
Autores principales: Liu, Chien-Sheng, Tu, Ho-Da
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269835/
https://www.ncbi.nlm.nih.gov/pubmed/35808552
http://dx.doi.org/10.3390/s22135058
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author Liu, Chien-Sheng
Tu, Ho-Da
author_facet Liu, Chien-Sheng
Tu, Ho-Da
author_sort Liu, Chien-Sheng
collection PubMed
description For automated optical inspection, autofocusing microscopes play an important role in capturing clear images of the measured object. At present, the image processing part of optics-based autofocusing microscopes often has various factors, which makes it impossible to describe the image information of the semicircular (or elliptical) spot with a simple circle-finding method. Accordingly, this study has developed a novel algorithm that can quickly calculate the ideal center of the elliptical spot and effectively compensate the linearity of the focusing characteristic curve. A prototype model was used to characterize and verify the proposed algorithm. The experimental results show that by using the proposed algorithm, the autofocusing accuracy can be effectively improved to less than 1.5 μm.
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spelling pubmed-92698352022-07-09 Innovative Image Processing Method to Improve Autofocusing Accuracy Liu, Chien-Sheng Tu, Ho-Da Sensors (Basel) Communication For automated optical inspection, autofocusing microscopes play an important role in capturing clear images of the measured object. At present, the image processing part of optics-based autofocusing microscopes often has various factors, which makes it impossible to describe the image information of the semicircular (or elliptical) spot with a simple circle-finding method. Accordingly, this study has developed a novel algorithm that can quickly calculate the ideal center of the elliptical spot and effectively compensate the linearity of the focusing characteristic curve. A prototype model was used to characterize and verify the proposed algorithm. The experimental results show that by using the proposed algorithm, the autofocusing accuracy can be effectively improved to less than 1.5 μm. MDPI 2022-07-05 /pmc/articles/PMC9269835/ /pubmed/35808552 http://dx.doi.org/10.3390/s22135058 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Liu, Chien-Sheng
Tu, Ho-Da
Innovative Image Processing Method to Improve Autofocusing Accuracy
title Innovative Image Processing Method to Improve Autofocusing Accuracy
title_full Innovative Image Processing Method to Improve Autofocusing Accuracy
title_fullStr Innovative Image Processing Method to Improve Autofocusing Accuracy
title_full_unstemmed Innovative Image Processing Method to Improve Autofocusing Accuracy
title_short Innovative Image Processing Method to Improve Autofocusing Accuracy
title_sort innovative image processing method to improve autofocusing accuracy
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269835/
https://www.ncbi.nlm.nih.gov/pubmed/35808552
http://dx.doi.org/10.3390/s22135058
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