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Munsell colour system

A system of classification of colours composed of about 1000 colour samples, each designated by a letter and number system. The letter and number of each sample indicate its hue, saturation (called chroma in this system) and brightness (called value). They are represented by a three-dimensional polar coordinate system in which the hue is represented along the circumference, the value along the vertical axis and the chroma along a radius (Fig. M14). See colorimetry; Farnsworth test.
Fig. M14 Schematic representation of the three coordinates of the Munsell colour systemenlarge picture
Fig. M14 Schematic representation of the three coordinates of the Munsell colour system


n a measurement of color saturation or the degree of color pureness. A color that is identified with a high chroma hue is almost completely free of white.
References in periodicals archive ?
Step 6: Compute Luminance, Chrominance, Hue angle(H) and Color distance metric (AERGB) for cashew kernel image from RGB components using the Equation 10, 11, 12, 13 and 14.
As the human visual system is more sensitive to details in luminance than to details in chrominance, the chrominance components can be compressed at high rate.
Using CIELAB allows the three basic characteristics of color -- luminance, chrominance and hue (LCH) -- to be changed independently of each other.
Unfortunately today's TV sets and most PC screen color renditions will mean a sacrifice of hue, chrominance, and luminance.
Moreover, the camera features color correction, color saturation, lens shading correction, software reset as well as chrominance control and maintains the ability to withstand extreme temperatures.
Besides, luminance and chrominance information of image are represented as Y and CbCr respectively in YCbCr model.
The optic elements retain good clarity, and chrominance accuracy is commendable.
The main challenge is to optimally preserve and make use of the chrominance component of the image so that the initial appearance of the image is transferred to the resultant picture as accurately as possible.
The processed L channel is then combined with the chrominance channels ('a' and 'b') and converted back to RGB color space.
A debayering (or demosaicing) algorithm interprets the color information from an OSC camera to reproduce the luminance and chrominance of the imaged target.
Luminance and chrominance components of video are separately filtered by H.
The common sense suggests that human skin appearance in photos is more controlled by the chrominance coordinates than the luminance one: the luminance could vary in a much larger interval than the chrominance.