Quantifying color variation: Improved formulas for calculating hue with segment classification1
نویسنده
چکیده
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.
منابع مشابه
Gamut Mapping in Munsell Constant Hue Sections
The problem of gamut mapping is of interest in achieving an optimum color reproduction whenever a translation from one device (source) to another device (destination) is requested and the source gamut differs from destination gamut. For printing applications, if the ICC profile specifications are used, gamut mapping is applied to build the color tables that characterize the printing device. Wit...
متن کاملClinical Validation of Eleven Formulas for Calculating LDL-C in Iran
Background & Objective: Concentration of low-density lipoprotein (LDL) is a known risk factor for cardiovascular disease which is r...
متن کاملA Study of Relationship Between Color Inconstancy Level and CIELAB Color Coordinates
In commercial point of view, it is of great interest to find colors with high color constancy level. Color constancy as a relatively property of object’s appearance could be affected by different factors. In this article, the color inconstancy index of CMCCON02 and CIELAB color coordinate of 1269 samples of Munsell at CIELchº color system to study any correlations, was calculated. The correspon...
متن کاملStudies on Colour Image Segmentation Method Based on Finite Left Truncated Bivariate Gaussian Mixture Model with K-Means
Colour Image segmentation is one of the prime requisites for computer vision and analysis. Much work has been reported in literature regarding colour image segmentation under HSI colour space and Gaussian mixture model (GMM). Since the Hue and Saturation values of the pixel in the image are non-negative. And may not be meso-kurtic, it is needed left truncate the Gaussian variate and is used to ...
متن کاملImproved visualisation of brain arteriovenous malformations using color intensity projections with hue cycling
Color intensity projections (CIP) have been shown to improve the visualisation of greyscale angiography images by combining greyscale images into a single color image. A key property of the combined CIP image is the encoding of the arrival time information from greyscale images into the hue of the color in the CIP image. A few minor improvements to the calculation of the CIP image are introduce...
متن کامل