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A Method for Digital Color Analysis of Spalted Wood Using Scion Image Software

Color analysis of spalted wood surfaces requires a non-subjective, repeatable method for determining percent of pigmentation on the wood surface. Previously published methods used human visual perception with a square grid overlay to determine the percent of surface pigmentation. Our new method uses...

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Detalles Bibliográficos
Autores principales: Robinson, Sara C., Laks, Peter E., Turnquist, Ethan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445697/
http://dx.doi.org/10.3390/ma2010062
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author Robinson, Sara C.
Laks, Peter E.
Turnquist, Ethan J.
author_facet Robinson, Sara C.
Laks, Peter E.
Turnquist, Ethan J.
author_sort Robinson, Sara C.
collection PubMed
description Color analysis of spalted wood surfaces requires a non-subjective, repeatable method for determining percent of pigmentation on the wood surface. Previously published methods used human visual perception with a square grid overlay to determine the percent of surface pigmentation. Our new method uses Scion Image(©), a graphical software program used for grayscale and color analysis, to separate fungal pigments from the wood background.  These human interface processes render the wood block into HSV (hue, saturation, value, within the RGB color space), allowing subtle and drastic color changes to be visualized, selected and analyzed by the software. Analysis with Scion Image(©) allows for a faster, less subjective, and easily repeatable procedure that is superior to simple human visual perception.
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spelling pubmed-54456972017-07-28 A Method for Digital Color Analysis of Spalted Wood Using Scion Image Software Robinson, Sara C. Laks, Peter E. Turnquist, Ethan J. Materials (Basel) Article Color analysis of spalted wood surfaces requires a non-subjective, repeatable method for determining percent of pigmentation on the wood surface. Previously published methods used human visual perception with a square grid overlay to determine the percent of surface pigmentation. Our new method uses Scion Image(©), a graphical software program used for grayscale and color analysis, to separate fungal pigments from the wood background.  These human interface processes render the wood block into HSV (hue, saturation, value, within the RGB color space), allowing subtle and drastic color changes to be visualized, selected and analyzed by the software. Analysis with Scion Image(©) allows for a faster, less subjective, and easily repeatable procedure that is superior to simple human visual perception. Molecular Diversity Preservation International 2009-02-16 /pmc/articles/PMC5445697/ http://dx.doi.org/10.3390/ma2010062 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Robinson, Sara C.
Laks, Peter E.
Turnquist, Ethan J.
A Method for Digital Color Analysis of Spalted Wood Using Scion Image Software
title A Method for Digital Color Analysis of Spalted Wood Using Scion Image Software
title_full A Method for Digital Color Analysis of Spalted Wood Using Scion Image Software
title_fullStr A Method for Digital Color Analysis of Spalted Wood Using Scion Image Software
title_full_unstemmed A Method for Digital Color Analysis of Spalted Wood Using Scion Image Software
title_short A Method for Digital Color Analysis of Spalted Wood Using Scion Image Software
title_sort method for digital color analysis of spalted wood using scion image software
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445697/
http://dx.doi.org/10.3390/ma2010062
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