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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Frontiers Media S.A.
2021-07-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2021.695510/full |
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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 |
work_keys_str_mv |
AT sunminchoi practicalmethodtoscreencontaminatedhologramsofflocsusinglightintensity AT junyoungseo practicalmethodtoscreencontaminatedhologramsofflocsusinglightintensity AT guanhonglee practicalmethodtoscreencontaminatedhologramsofflocsusinglightintensity AT xiaotengshen practicalmethodtoscreencontaminatedhologramsofflocsusinglightintensity AT hokyungha practicalmethodtoscreencontaminatedhologramsofflocsusinglightintensity |
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1721314940596256768 |