Sentence examples for mean luminance distribution from inspiring English sources
A second analysis examined the mean luminance distribution across the images in the different conditions (see Fig. 3 in [1]).
A second analysis examined the mean luminance distribution across the images in the different conditions (Fig. 3).
Finally the uniform-luminance control used by Humphrey et al. (1997), was the least efficient control for early visual regions (Fig. 10 F), even if the mean luminance distribution was very similar to that of the pixel-scrambled conditions (Fig. 3).
In both experiments, the stimulus categories were equated with respect to mean luminance, SD of luminance distribution, and contrast density (RMS contrast), as assessed by means of MATLAB 7.0 (The MathWorks, Natick, MA).
By manipulating luminance distribution skewness (holding mean and variance constant) for individual natural images, we show that in fact preference varies inversely with increasing positive skewness.
Furthermore, seen from the histogram, white facial color would hold higher values in luminance distribution at each chromaticity base, while black facial color are always with lower luminance values.
These results suggest that humans prefer images with luminances that are distributed relatively evenly about the mean luminance, i.e., images with similar amounts of light and dark.
For these subbases rendered with green color, it denotes the luminance distribution with respect to each chromaticity base.
The colour of each pixel was converted into the corresponding brightness (the arithmetic mean of the red, green, and blue colour coordinates in the RGB colour space), and the scene luminance distribution was computed based on the empirically determined function between luminance and brightness.
The mean luminance was 14 cd/m2.
The luminance characteristics in the exit window (peak luminance, luminance contrasts, and spatial luminance distribution) play an important role in the design of comfortable (LED) office luminaires.
