Application of Image Processing Programs in Color Analysis of Wood Photodegradation

In general, polymer photodegradation is an important aspect of polymer science that is of great interest to chemistry, materials science, biology, and physics students who engage in this field of research. Wood consists of three main polymers, which makes it a good candidate for such photodegradatio...

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Main Authors: Plata, Gabriel Joseph D, Delos Santos, Ramon M
Format: text
Published: Archīum Ateneo 2022
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Online Access:https://archium.ateneo.edu/physics-faculty-pubs/136
https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1135&context=physics-faculty-pubs
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spelling ph-ateneo-arc.physics-faculty-pubs-11352023-01-18T07:16:45Z Application of Image Processing Programs in Color Analysis of Wood Photodegradation Plata, Gabriel Joseph D Delos Santos, Ramon M In general, polymer photodegradation is an important aspect of polymer science that is of great interest to chemistry, materials science, biology, and physics students who engage in this field of research. Wood consists of three main polymers, which makes it a good candidate for such photodegradation studies. Aside from structural changes based on chemical analysis, color change assessment can also be employed to check any extent of degradation on wood without the need for sophisticated analytical equipment. This study presents the application of two image processing programs in color analysis of wood photodegradation: ImageJ and Colormath library, which are Java-based and Python-based software, respectively. Images of unexposed and UV-exposed wood samples were taken using a smartphone as an affordable digital camera. RGB channel values from these images were analyzed and quantified by ImageJ software. These values were converted to the corresponding CIEL*a*b* parameters using the Colormath library to calculate the color change, ΔE. For the 3-hour exposed sample, ?E is equal to 4.29. This value indicates appreciable color change, according to the criteria from literature. Regardless of the exposure time, the wood samples become darker as indicated by the negative value in the change in lightness L* 2022-01-01T08:00:00Z text application/pdf https://archium.ateneo.edu/physics-faculty-pubs/136 https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1135&context=physics-faculty-pubs Physics Faculty Publications Archīum Ateneo Chemical analysis Chemical equipment Color Colorimetry Degradation Image analysis Wood products Analytical equipment Color analysis Color changes Image Processing Projects Material physics Material science Photo degradation Polymer science Smart phones Wood samples Application programs Atomic, Molecular and Optical Physics Physical Sciences and Mathematics Physics
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Chemical analysis
Chemical equipment
Color
Colorimetry
Degradation
Image analysis
Wood products
Analytical equipment
Color analysis
Color changes
Image Processing Projects
Material physics
Material science
Photo degradation
Polymer science
Smart phones
Wood samples
Application programs
Atomic, Molecular and Optical Physics
Physical Sciences and Mathematics
Physics
spellingShingle Chemical analysis
Chemical equipment
Color
Colorimetry
Degradation
Image analysis
Wood products
Analytical equipment
Color analysis
Color changes
Image Processing Projects
Material physics
Material science
Photo degradation
Polymer science
Smart phones
Wood samples
Application programs
Atomic, Molecular and Optical Physics
Physical Sciences and Mathematics
Physics
Plata, Gabriel Joseph D
Delos Santos, Ramon M
Application of Image Processing Programs in Color Analysis of Wood Photodegradation
description In general, polymer photodegradation is an important aspect of polymer science that is of great interest to chemistry, materials science, biology, and physics students who engage in this field of research. Wood consists of three main polymers, which makes it a good candidate for such photodegradation studies. Aside from structural changes based on chemical analysis, color change assessment can also be employed to check any extent of degradation on wood without the need for sophisticated analytical equipment. This study presents the application of two image processing programs in color analysis of wood photodegradation: ImageJ and Colormath library, which are Java-based and Python-based software, respectively. Images of unexposed and UV-exposed wood samples were taken using a smartphone as an affordable digital camera. RGB channel values from these images were analyzed and quantified by ImageJ software. These values were converted to the corresponding CIEL*a*b* parameters using the Colormath library to calculate the color change, ΔE. For the 3-hour exposed sample, ?E is equal to 4.29. This value indicates appreciable color change, according to the criteria from literature. Regardless of the exposure time, the wood samples become darker as indicated by the negative value in the change in lightness L*
format text
author Plata, Gabriel Joseph D
Delos Santos, Ramon M
author_facet Plata, Gabriel Joseph D
Delos Santos, Ramon M
author_sort Plata, Gabriel Joseph D
title Application of Image Processing Programs in Color Analysis of Wood Photodegradation
title_short Application of Image Processing Programs in Color Analysis of Wood Photodegradation
title_full Application of Image Processing Programs in Color Analysis of Wood Photodegradation
title_fullStr Application of Image Processing Programs in Color Analysis of Wood Photodegradation
title_full_unstemmed Application of Image Processing Programs in Color Analysis of Wood Photodegradation
title_sort application of image processing programs in color analysis of wood photodegradation
publisher Archīum Ateneo
publishDate 2022
url https://archium.ateneo.edu/physics-faculty-pubs/136
https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1135&context=physics-faculty-pubs
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