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Quantifying color variation: Improved formulas for calculating hue with segment classification(1)
• Premise of the study: Differences in color form a major component of biological variation, and quantifying these differences is the first step to understanding their evolutionary and ecological importance. One common method for measuring color variation is segment classification, which uses three...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Botanical Society of America
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4103106/ https://www.ncbi.nlm.nih.gov/pubmed/25202612 http://dx.doi.org/10.3732/apps.1300088 |
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author | Smith, Stacey D. |
author_facet | Smith, Stacey D. |
author_sort | Smith, Stacey D. |
collection | PubMed |
description | • Premise of the study: Differences in color form a major component of biological variation, and quantifying these differences is the first step to understanding their evolutionary and ecological importance. One common method for measuring color variation is segment classification, which uses three variables (chroma, hue, and brightness) to describe the height and shape of reflectance curves. This study provides new formulas for calculating hue (the variable that describes the “type” of color) to give correct values in all regions of color space. • Methods and Results: Reflectance spectra were obtained from the literature, and chroma, hue, and brightness were computed for each spectrum using the original formulas as well as the new formulas. Only the new formulas result in correct values in the blue-green portion of color space. • Conclusions: Use of the new formulas for calculating hue will result in more accurate color quantification for a broad range of biological applications. |
format | Online Article Text |
id | pubmed-4103106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Botanical Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-41031062014-09-08 Quantifying color variation: Improved formulas for calculating hue with segment classification(1) Smith, Stacey D. Appl Plant Sci Protocol Note • Premise of the study: Differences in color form a major component of biological variation, and quantifying these differences is the first step to understanding their evolutionary and ecological importance. One common method for measuring color variation is segment classification, which uses three variables (chroma, hue, and brightness) to describe the height and shape of reflectance curves. This study provides new formulas for calculating hue (the variable that describes the “type” of color) to give correct values in all regions of color space. • Methods and Results: Reflectance spectra were obtained from the literature, and chroma, hue, and brightness were computed for each spectrum using the original formulas as well as the new formulas. Only the new formulas result in correct values in the blue-green portion of color space. • Conclusions: Use of the new formulas for calculating hue will result in more accurate color quantification for a broad range of biological applications. Botanical Society of America 2014-02-26 /pmc/articles/PMC4103106/ /pubmed/25202612 http://dx.doi.org/10.3732/apps.1300088 Text en © 2014 Smith. Published by the Botanical Society of America http://creativecommons.org/licenses/by-nc/4.0/ This work is licensed under a Creative Commons Attribution License (CC-BY-NC-SA). |
spellingShingle | Protocol Note Smith, Stacey D. Quantifying color variation: Improved formulas for calculating hue with segment classification(1) |
title | Quantifying color variation: Improved formulas for calculating hue with segment classification(1) |
title_full | Quantifying color variation: Improved formulas for calculating hue with segment classification(1) |
title_fullStr | Quantifying color variation: Improved formulas for calculating hue with segment classification(1) |
title_full_unstemmed | Quantifying color variation: Improved formulas for calculating hue with segment classification(1) |
title_short | Quantifying color variation: Improved formulas for calculating hue with segment classification(1) |
title_sort | quantifying color variation: improved formulas for calculating hue with segment classification(1) |
topic | Protocol Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4103106/ https://www.ncbi.nlm.nih.gov/pubmed/25202612 http://dx.doi.org/10.3732/apps.1300088 |
work_keys_str_mv | AT smithstaceyd quantifyingcolorvariationimprovedformulasforcalculatinghuewithsegmentclassification1 |