Practical Method to Screen Contaminated Holograms of Flocs Using Light Intensity

Submergible digital holographic camera can measure the in situ size and shape of suspended particles, such as complex flocs and biological organisms, without disturbance. As the number of particles in the water column increases, overlapping concentric rings (interference patterns) can contaminate th...

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Main Authors: Sun Min Choi, Jun Young Seo, Guan-hong Lee, Xiaoteng Shen, Ho Kyung Ha
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Marine Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2021.695510/full
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spelling doaj-c93ce38a3f014467a8618f438a78a54e2021-07-07T16:46:52ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452021-07-01810.3389/fmars.2021.695510695510Practical Method to Screen Contaminated Holograms of Flocs Using Light IntensitySun Min Choi0Jun Young Seo1Guan-hong Lee2Xiaoteng Shen3Ho Kyung Ha4Department of Ocean Sciences, Inha University, Incheon, South KoreaDepartment of Ocean Sciences, Inha University, Incheon, South KoreaDepartment of Ocean Sciences, Inha University, Incheon, South KoreaCollege of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing, ChinaDepartment of Ocean Sciences, Inha University, Incheon, South KoreaSubmergible digital holographic camera can measure the in situ size and shape of suspended particles, such as complex flocs and biological organisms, without disturbance. As the number of particles in the water column increases, overlapping concentric rings (interference patterns) can contaminate the holographic images. Using light intensity (LI), this study proposes a practical method to assess the degree of contamination and screen out contaminated images. The outcomes from image processing support that LI normalized on a gray scale of 0 (black) to 255 (white) can be a reliable criterion for defining the contamination boundary. Results found that as LI increased, the shape of the particle size distribution shifted from a positively skewed to a normal distribution. When LI was lower than approximately 80, owing to the distortion of particle properties, the settling velocities derived from the contaminated holograms with mosaic patterns were underestimated compared to those from the uncontaminated holograms. The proposed method can contribute to a more accurate estimation of the transport and behavior of cohesive sediments in shallow estuarine environments.https://www.frontiersin.org/articles/10.3389/fmars.2021.695510/fullhologramfloclight intensitycontaminationinterference
collection DOAJ
language English
format Article
sources DOAJ
author Sun Min Choi
Jun Young Seo
Guan-hong Lee
Xiaoteng Shen
Ho Kyung Ha
spellingShingle Sun Min Choi
Jun Young Seo
Guan-hong Lee
Xiaoteng Shen
Ho Kyung Ha
Practical Method to Screen Contaminated Holograms of Flocs Using Light Intensity
Frontiers in Marine Science
hologram
floc
light intensity
contamination
interference
author_facet Sun Min Choi
Jun Young Seo
Guan-hong Lee
Xiaoteng Shen
Ho Kyung Ha
author_sort Sun Min Choi
title Practical Method to Screen Contaminated Holograms of Flocs Using Light Intensity
title_short Practical Method to Screen Contaminated Holograms of Flocs Using Light Intensity
title_full Practical Method to Screen Contaminated Holograms of Flocs Using Light Intensity
title_fullStr Practical Method to Screen Contaminated Holograms of Flocs Using Light Intensity
title_full_unstemmed Practical Method to Screen Contaminated Holograms of Flocs Using Light Intensity
title_sort practical method to screen contaminated holograms of flocs using light intensity
publisher Frontiers Media S.A.
series Frontiers in Marine Science
issn 2296-7745
publishDate 2021-07-01
description Submergible digital holographic camera can measure the in situ size and shape of suspended particles, such as complex flocs and biological organisms, without disturbance. As the number of particles in the water column increases, overlapping concentric rings (interference patterns) can contaminate the holographic images. Using light intensity (LI), this study proposes a practical method to assess the degree of contamination and screen out contaminated images. The outcomes from image processing support that LI normalized on a gray scale of 0 (black) to 255 (white) can be a reliable criterion for defining the contamination boundary. Results found that as LI increased, the shape of the particle size distribution shifted from a positively skewed to a normal distribution. When LI was lower than approximately 80, owing to the distortion of particle properties, the settling velocities derived from the contaminated holograms with mosaic patterns were underestimated compared to those from the uncontaminated holograms. The proposed method can contribute to a more accurate estimation of the transport and behavior of cohesive sediments in shallow estuarine environments.
topic hologram
floc
light intensity
contamination
interference
url https://www.frontiersin.org/articles/10.3389/fmars.2021.695510/full
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AT guanhonglee practicalmethodtoscreencontaminatedhologramsofflocsusinglightintensity
AT xiaotengshen practicalmethodtoscreencontaminatedhologramsofflocsusinglightintensity
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