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Edge Bleeding Artifact Reduction for Shape from Focus in Microscopic 3D Sensing

Shape from focus enables microscopic 3D sensing by combining it with a microscope system. However, edge bleeding artifacts of estimated depth easily occur in this environment. Therefore, this study analyzed artifacts and proposed a method to reduce edge bleeding artifacts. As a result of the analysi...

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Autores principales: Park, Sang-Ho, Park, Ga-Rin, Baek, Kwang-Ryul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611386/
https://www.ncbi.nlm.nih.gov/pubmed/37896695
http://dx.doi.org/10.3390/s23208602
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author Park, Sang-Ho
Park, Ga-Rin
Baek, Kwang-Ryul
author_facet Park, Sang-Ho
Park, Ga-Rin
Baek, Kwang-Ryul
author_sort Park, Sang-Ho
collection PubMed
description Shape from focus enables microscopic 3D sensing by combining it with a microscope system. However, edge bleeding artifacts of estimated depth easily occur in this environment. Therefore, this study analyzed artifacts and proposed a method to reduce edge bleeding artifacts. As a result of the analysis, the artifact factors are the depth of field of the lens, object texture, brightness difference between layers, and the slope of the object. Additionally, to reduce artifacts, a weighted focus measure value method was proposed based on the asymmetry of local brightness in artifacts. The proposed reduction method was evaluated through simulation and implementation. Edge bleeding artifact reduction rates of up to 60% were shown in various focus measure operators. The proposed method can be used with postprocessing algorithms and reduces edge bleeding artifacts.
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spelling pubmed-106113862023-10-28 Edge Bleeding Artifact Reduction for Shape from Focus in Microscopic 3D Sensing Park, Sang-Ho Park, Ga-Rin Baek, Kwang-Ryul Sensors (Basel) Article Shape from focus enables microscopic 3D sensing by combining it with a microscope system. However, edge bleeding artifacts of estimated depth easily occur in this environment. Therefore, this study analyzed artifacts and proposed a method to reduce edge bleeding artifacts. As a result of the analysis, the artifact factors are the depth of field of the lens, object texture, brightness difference between layers, and the slope of the object. Additionally, to reduce artifacts, a weighted focus measure value method was proposed based on the asymmetry of local brightness in artifacts. The proposed reduction method was evaluated through simulation and implementation. Edge bleeding artifact reduction rates of up to 60% were shown in various focus measure operators. The proposed method can be used with postprocessing algorithms and reduces edge bleeding artifacts. MDPI 2023-10-20 /pmc/articles/PMC10611386/ /pubmed/37896695 http://dx.doi.org/10.3390/s23208602 Text en © 2023 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 Article
Park, Sang-Ho
Park, Ga-Rin
Baek, Kwang-Ryul
Edge Bleeding Artifact Reduction for Shape from Focus in Microscopic 3D Sensing
title Edge Bleeding Artifact Reduction for Shape from Focus in Microscopic 3D Sensing
title_full Edge Bleeding Artifact Reduction for Shape from Focus in Microscopic 3D Sensing
title_fullStr Edge Bleeding Artifact Reduction for Shape from Focus in Microscopic 3D Sensing
title_full_unstemmed Edge Bleeding Artifact Reduction for Shape from Focus in Microscopic 3D Sensing
title_short Edge Bleeding Artifact Reduction for Shape from Focus in Microscopic 3D Sensing
title_sort edge bleeding artifact reduction for shape from focus in microscopic 3d sensing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611386/
https://www.ncbi.nlm.nih.gov/pubmed/37896695
http://dx.doi.org/10.3390/s23208602
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