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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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 |
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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 |
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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 |
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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* |
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text |
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Plata, Gabriel Joseph D Delos Santos, Ramon M |
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Plata, Gabriel Joseph D Delos Santos, Ramon M |
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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 |
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Archīum Ateneo |
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2022 |
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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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