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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Main Authors: Sang-Ho Park, Ga-Rin Park, Kwang-Ryul Baek
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/20/8602
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author Sang-Ho Park
Ga-Rin Park
Kwang-Ryul Baek
author_facet Sang-Ho Park
Ga-Rin Park
Kwang-Ryul Baek
author_sort Sang-Ho Park
collection DOAJ
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 doaj.art-6a3e8da955034430a5677c11b69dffff2023-11-19T18:05:25ZengMDPI AGSensors1424-82202023-10-012320860210.3390/s23208602Edge Bleeding Artifact Reduction for Shape from Focus in Microscopic 3D SensingSang-Ho Park0Ga-Rin Park1Kwang-Ryul Baek2School of Electric and Electronic Engineering, Pusan National University, Busan 46241, Republic of KoreaSchool of Electric and Electronic Engineering, Pusan National University, Busan 46241, Republic of KoreaSchool of Electric and Electronic Engineering, Pusan National University, Busan 46241, Republic of KoreaShape 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.https://www.mdpi.com/1424-8220/23/20/8602shape from focus3D sensingdepth estimationedge bleeding artifact reductionmicrostructures
spellingShingle Sang-Ho Park
Ga-Rin Park
Kwang-Ryul Baek
Edge Bleeding Artifact Reduction for Shape from Focus in Microscopic 3D Sensing
Sensors
shape from focus
3D sensing
depth estimation
edge bleeding artifact reduction
microstructures
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 shape from focus
3D sensing
depth estimation
edge bleeding artifact reduction
microstructures
url https://www.mdpi.com/1424-8220/23/20/8602
work_keys_str_mv AT sanghopark edgebleedingartifactreductionforshapefromfocusinmicroscopic3dsensing
AT garinpark edgebleedingartifactreductionforshapefromfocusinmicroscopic3dsensing
AT kwangryulbaek edgebleedingartifactreductionforshapefromfocusinmicroscopic3dsensing