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Quantifying color variation: Improved formulas for calculating hue with segment classification.

ABSTRACT: UNLABELLED: 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.

SUBMITTER: Smith SD

PROVIDER: S-EPMC4103106 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature

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Quantifying color variation: Improved formulas for calculating hue with segment classification.

Smith Stacey D SD

Applications in plant sciences 20140226 3

<h4>Unlabelled</h4><h4>Premise of the study</h4>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 describe ...[more]

PMID: 25202612

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