Sentence examples for hue density from inspiring English sources

Exact(1)

Hue density graphs display the population distribution of the hue variable as a continuous estimate smoothed by a Gaussian kernel (R density function, bandwidth = 7, n ≥ 130 deposits per set in all graphs shown, except for Figure 3D, in which bandwidth = 10, n ≥ 50).

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The ET was calibrated with respect to the total phenolic content, colour density and hue and chemical ages 1 and 2 and could predict these parameters of wine with good precision.

The composition, conjugation and quantity of anthocyanins in red varieties determine the color density and hue of the berry skin.

Variability in seed colour density, colour hue, and proanthocyanidin distribution patterns was observed under a stereo-compound microscope.

When using a color histogram or skin color probability density function, RGB, hue, and saturation values may change by illumination.

If we assume that the sampling density in the hue angle under the condition of (Lamp, Samp) = (0.08, 0.80) is too dense for hues around the S-cone axis, the resultant large population bias in the histogram can be explained.

The sable, resembling a cross between a cat and a weasel, is a cousin of both the weasel and the mink, but its fur surpasses all others in silky density and luminous hues of beige, brown, gold, silver and black.

Richly optical, they shift between passages of greater and lesser dot-density and concentrations of hue.

Automated measurement of immunostaining intensity based on three related color parameters: the color defined by hue, the "darkness" defined as luminosity, and density of the color defined as the saturation.

The results from our control experiment, in which Samp (the minor axis of the elliptic hue locus) was varied while keeping the hue-sampling density unchanged, showed that not only the amplitude but also sampling density along the hue angle were possible causes for the difference in the shape of the histogram among various Samp conditions (Supplementary Fig. 4).

Many rendering methods are available such as scatterplot, 2D histogram, blurred 2D histogram, automatic kernel density estimation (Botev, 2010), Delaunay triangulation, jittered 2D histogram, hue-encoded depth and a novel occluding hue-encoded depth (Fig. 1e, in the same order).

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